Dataset Viewer
doc_id
string | appl_id
string | claim1
string | claim_number
int64 | claim_text
string |
|---|---|---|---|---|
8135669
|
11792778
|
1. <nc>A method</nc> for displaying, capturing and using <nc>document metadata</nc> within <nc>result pages</nc> in <nc>an information access system</nc>, wherein <nc>the method</nc> comprises: storing, by <nc>the information access system</nc>, <nc>a first metadata object</nc>, <nc>the first metadata object</nc> containing <nc>chronologically-ordered entries</nc> <nc>that</nc> contain <nc>content</nc> posted by <nc>users</nc> of <nc>the information access system</nc> regarding <nc>a given document</nc>, at least one of <nc>the entries</nc> containing <nc>content</nc> created by <nc>a first user</nc> of <nc>the information access system</nc>; receiving <nc>a query</nc> from <nc>a second user</nc> of <nc>the information access system</nc>; and in <nc>response</nc> to receiving <nc>the query</nc>: identifying <nc>matching documents</nc>, <nc>the matching documents</nc> being <nc>documents</nc> <nc>that</nc> are returned by applying <nc>the query</nc> to <nc>a set</nc> of <nc>documents</nc>, <nc>the matching documents</nc> including <nc>the given document</nc>; and producing, by <nc>a server</nc> in <nc>the information access system</nc>, <nc>a result page</nc> including <nc>a first area</nc> containing <nc>a title</nc> of <nc>the given document</nc> and <nc>a snippet</nc> of <nc>the given document</nc>, <nc>a second area</nc> containing <nc>a title</nc> of <nc>a second document</nc> and <nc>a snippet</nc> of <nc>the second document</nc>; wherein <nc>the first area</nc> includes one or more of <nc>the entries</nc> in <nc>the first metadata object</nc>, wherein <nc>the first area</nc> includes <nc>an element</nc> for posting <nc>the new entry</nc> to <nc>the first metadata object</nc>, wherein <nc>the second area</nc> includes <nc>text</nc> in <nc>the second metadata object</nc>, and an element for editing <nc>the text</nc> in <nc>the second metadata object</nc>, receiving <nc>the new entry</nc> from <nc>the second user</nc>; and receiving <nc>input</nc> from <nc>the second user</nc>, <nc>the input</nc> representing <nc>edits</nc> to <nc>the text</nc> in <nc>the second metadata object</nc>.
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5. <nc>A method</nc> according to <nc>claim</nc> 1 , further comprising: using <nc>Lightweight Directory Access Protocol</nc> <nc>(LDAP</nc>) or <nc>Active Directory</nc> to manage <nc>access rights</nc> of <nc>end users</nc> of <nc>the information access system</nc>, <nc>the end users</nc> including <nc>the first user</nc> and <nc>the second user</nc>; controlling whether <nc>the second user</nc> is able to view and edit <nc>metadata</nc> in <nc>metadata objects</nc> associated with <nc>the matching documents</nc> based on <nc>the access rights</nc> of <nc>the second user</nc>, and maintaining <nc>the access rights</nc> of <nc>the users</nc> such that <nc>users</nc> in <nc>user-defined groups</nc> can share viewing and <nc>editing</nc> of <nc>document metadata</nc> in <nc>a secure manner</nc>.
|
8024415
|
10220550
|
1. <nc>A priorities system</nc>, comprising: <nc>a classifier</nc> configured to assign <nc>priorities</nc> to <nc>one or more messages</nc> according to <nc>one or more degrees</nc> of <nc>classification</nc>; <nc>a component</nc> <nc>that</nc> determines expected <nc>loss</nc> to <nc>a user</nc> of <nc>non</nc><nc>-</nc><nc>review</nc> of <nc>one or more messages</nc> based on <nc>at least determining likelihood</nc> that <nc>the user</nc> will review <nc>the one or more messages</nc> at <nc>a future time</nc>; and <nc>a message subsystem</nc> associated with <nc>the classifier</nc> to process <nc>the one or more messages</nc> according to <nc>the assigned priorities</nc>.
| 13
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13. <nc>The system</nc> of <nc>claim</nc> 1 , wherein <nc>the one or more messages</nc> are assigned to <nc>a class</nc>.
|
9659109
|
14289495
|
1. <nc>A method</nc> of providing <nc>predictive search query recommendations</nc> for <nc>a search query</nc>, <nc>the method</nc> being implemented via <nc>execution</nc> of <nc>computer instructions</nc> configured to run at <nc>one or more processing modules</nc> and configured to be stored at <nc>one or more non-transitory memory storage modules</nc>, <nc>the method</nc> comprising: receiving <nc>the search query</nc> from <nc>a user</nc>; determining <nc>the predictive search query recommendations</nc> for <nc>the search query</nc> using <nc>a tree data structure</nc>, <nc>wherein at least one top layer</nc> of <nc>the tree data structure</nc> comprise <nc>at least one trie query node</nc>, and wherein <nc>bottom layers</nc> of <nc>the tree data structure</nc> comprise <nc>ternary tree query nodes</nc>; and sending <nc>the predictive search query recommendations</nc> to <nc>the user</nc>, wherein: <nc>the at least one top layer</nc> of <nc>the tree data structure</nc> having <nc>the at least one trie query node</nc> are <nc>at least three layers</nc> at <nc>a top</nc> of <nc>the tree data structure</nc>; <nc>the tree data structure</nc> comprises <nc>query nodes</nc> and <nc>solution nodes</nc>; <nc>the query nodes</nc> comprise <nc>the at least one trie query node</nc> and <nc>the ternary tree query nodes</nc>; <nc>each</nc> of <nc>the solution nodes</nc> is <nc>a leaf node</nc> of <nc>the tree data structure</nc>, is <nc>a child</nc> of <nc>a ternary tree query node</nc> within <nc>the ternary tree query nodes</nc>, and comprises <nc>a predictive query solution</nc> and <nc>a score</nc>; <nc>each</nc> of <nc>the ternary tree query nodes</nc> comprises <nc>a subtree score</nc> <nc>that</nc> is equal to <nc>a highest score</nc> of <nc>any</nc> of <nc>the solution nodes</nc> in <nc>a subtree</nc> <nc>that</nc> is rooted at <nc>the ternary tree query node</nc>; and determining <nc>the predictive search query recommendations</nc> comprises: determining <nc>an ending-character query node</nc> from among <nc>the query nodes</nc> based on <nc>the search query</nc>; and if <nc>the ending-character query node</nc> is one of <nc>the ternary tree query nodes</nc>: determining <nc>a subset</nc> of <nc>the solution nodes</nc> having <nc>scores</nc> <nc>that</nc> are in <nc>a group</nc> of <nc>highest scores</nc> in <nc>any</nc> of <nc>the solution nodes</nc> <nc>that</nc> are in <nc>an ending-character subtree</nc> <nc>that</nc> is rooted at <nc>the ending-character query node</nc>; and using <nc>the predictive query solutions</nc> of <nc>the solution nodes</nc> in <nc>the subset</nc> of <nc>the solution nodes</nc> as <nc>the predictive search query recommendations</nc>.
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4. <nc>The method</nc> of <nc>claim</nc> 1 , wherein: receiving <nc>the search query</nc> from <nc>the user</nc> comprises receiving <nc>the search query</nc> from <nc>the user</nc> such that <nc>the search query</nc> includes <nc>one or more typographic or orthographic errors</nc>; and sending <nc>the predictive search query recommendations</nc> to <nc>the user</nc> comprises sending <nc>the predictive search query recommendations</nc> to <nc>the user</nc> such that <nc>the predictive search query recommendations</nc> include <nc>one or more corrections</nc> of <nc>the one or more typographic or orthographic errors</nc>.
|
8606806
|
12179647
|
1. <nc>A computer</nc> implemented <nc>method</nc> comprising the following computer executable acts: receiving <nc>a query</nc> written in <nc>XQuery</nc> for <nc>execution</nc> over <nc>an XML data collection</nc> retained in <nc>a computer-readable storage device</nc>, <nc>the query</nc> comprising <nc>at least one query expression</nc>, <nc>the at least one query expression</nc> comprising at least one of <nc>an element</nc> or <nc>an attribute</nc>; responsive to receiving <nc>the query</nc>, accessing <nc>at least one XML schema</nc> for <nc>the XML data collection</nc>, wherein <nc>the XML schema</nc> specifies <nc>a content model</nc>, <nc>the content model</nc> specifying that that the at least one of <nc>the element</nc> or <nc>the attribute</nc> in <nc>the XML schema</nc> is typed through <nc>use</nc> of <nc>a wildcard</nc>; identifying <nc>a section</nc> in <nc>the XML data collection</nc> <nc>that</nc> includes the at least one of <nc>the element</nc> or <nc>the attribute</nc> as <nc>a lax validation section</nc>; mapping <nc>the lax validation section</nc> of <nc>the XML schema</nc> into <nc>a XQuery type system</nc>; subsequent to mapping <nc>the lax validation section</nc> of <nc>the XML schema</nc> into <nc>the XQuery type system</nc>, automatically inferring <nc>a type</nc> for <nc>the at least one query expression</nc> such that <nc>the type</nc> for <nc>the at least one query expression</nc> is restricted from being typed with <nc>a wildcard</nc>; and subsequent to inferring <nc>the type</nc> for <nc>the at least one query expression</nc>, annotating <nc>the type</nc> inferred for <nc>the at least one query expression</nc> with <nc>at least one constraint</nc>.
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9. <nc>The computer</nc> implemented <nc>method</nc> of <nc>claim</nc> 1 further comprising compiling <nc>expressions</nc> with <nc>knowledge</nc> for <nc>types</nc> involved.
|
9788215
|
13290767
|
1. <nc>A method</nc> of <nc>computing</nc>, comprising: storing in <nc>a data store</nc> for <nc>each</nc> of <nc>a plurality</nc> of <nc>entities</nc> <nc>an entity image data</nc> comprising <nc>metadata</nc> about <nc>an entity</nc> of <nc>the plurality</nc> of <nc>entities</nc>, wherein <nc>the data store</nc> is configured to create and support <nc>an organically changing schema</nc>, and provides <nc>a mechanism</nc> to propagate <nc>changes</nc> to <nc>the schema</nc> or <nc>data</nc>; discovering, using <nc>a processor</nc> of <nc>a first entity</nc>, <nc>a second entity</nc> to help achieve <nc>an objective</nc>, wherein <nc>the second entity</nc> is <nc>a cloud-based entity</nc>; connecting to <nc>a processor</nc> of <nc>the second entity</nc> via <nc>a communication interface device</nc>; using <nc>a meta-language</nc> to exchange with <nc>the processor</nc> of <nc>the second entity</nc> via <nc>the communication</nc> interface <nc>a description</nc> of <nc>the objective</nc> to aggregate <nc>data</nc> from <nc>the second entity</nc> and <nc>descriptive information</nc> associated with <nc>the second entity</nc>, wherein <nc>the descriptive information</nc> includes <nc>an identification</nc> of <nc>a proprietary data access interface</nc> associated with <nc>the second entity</nc>, wherein <nc>the proprietary data access interface</nc> associated with <nc>the second entity</nc> is different than <nc>a proprietary data access interface</nc> associated with <nc>the first entity</nc>, wherein <nc>a bridge</nc> separate from <nc>the processor</nc> of <nc>the first entity</nc> and <nc>the processor</nc> of <nc>the second entity</nc> is configured to receive <nc>the meta-language</nc> exchanged with <nc>the processor</nc> of <nc>the second entity</nc> and to use <nc>an internal standard meta-language</nc> to enable <nc>the processor</nc> of <nc>the second entity</nc> with <nc>the proprietary data access interface</nc> to understand <nc>the description</nc> of <nc>the objective</nc>; negotiating with <nc>the processor</nc> of <nc>the second entity</nc> using <nc>the meta</nc><nc>-language</nc>, including by exchanging <nc>one or more proposals</nc> with <nc>the processor</nc> of <nc>the second entity</nc> via <nc>the communication interface</nc> to form <nc>a contract</nc>, <nc>the contract</nc> indicates how <nc>data</nc> will be aggregated from <nc>the second entity</nc>; receiving <nc>an indication</nc> of <nc>a need</nc> to recruit <nc>a third entity</nc> to help achieve <nc>the objective</nc>; recruiting <nc>the third entity</nc> to help achieve <nc>the objective</nc>, through <nc>a process</nc> <nc>that</nc> includes one or more of the following<nc>: discovery</nc>, <nc>connection</nc>, <nc>description</nc>, <nc>negotiation</nc>, <nc>configuration</nc>, <nc>initiation</nc> of <nc>operation</nc>, <nc>maintenance</nc> of <nc>operation</nc>, and <nc>discontinuation</nc> of <nc>operation</nc>; and in <nc>the event</nc> <nc>the contract</nc> is formed, performing <nc>a self-configuration</nc> in <nc>accordance</nc> with <nc>the contract</nc>.
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13. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the contract</nc> includes at least one of <nc>the following parameters</nc> to be used in <nc>the aggregation</nc> of <nc>data</nc>: <nc>configurations</nc>, <nc>settings</nc>, and <nc>data formats</nc> and <nc>structures</nc>.
|
8335683
|
10350199
|
1. <nc>A computer-readable storage medium</nc> including <nc>instructions</nc> readable by <nc>a computer</nc> <nc>which</nc>, when implemented, provide <nc>a text classifier</nc> in <nc>a natural language interface</nc> <nc>that</nc> receives <nc>a natural language user input</nc>, <nc>the text classifier</nc> comprising: <nc>a feature extractor</nc> extracting <nc>a binary feature vector</nc> of <nc>features</nc> from <nc>a textual input</nc> indicative of <nc>the natural language user input</nc>; <nc>a statistical classifier</nc> coupled to <nc>the feature extractor</nc>, receiving <nc>the feature vector</nc> of <nc>features</nc>, and outputting <nc>a selected class identifier</nc>, <nc>the selected class identifier</nc> identifying <nc>a task</nc> to be completed, associated with <nc>the textual input</nc>, based on <nc>the features</nc> in <nc>the feature vector</nc>, <nc>the statistical classifier</nc> comprising: <nc>a plurality</nc> of <nc>statistical classification components</nc> <nc>each statistical classification component</nc> receiving <nc>the feature vector</nc> and outputting <nc>a respective class identifier</nc> based on <nc>the feature vector</nc>, <nc>each respective class identifier</nc> representing one of <nc>a plurality</nc> of <nc>tasks</nc> to be completed <nc>that</nc> can be identified using <nc>each statistical classification component</nc>; and <nc>a class selector</nc> coupled to <nc>the plurality</nc> of <nc>statistical classification components</nc> and selecting one of <nc>the respective class identifiers</nc> as <nc>the selected class identifier</nc> identifying <nc>the task</nc> to be completed wherein <nc>the class selector</nc> comprises one of <nc>a group</nc> comprising: <nc>a voting component</nc> <nc>that</nc> selects <nc>a class identifier</nc> <nc>that</nc> is <nc>output</nc> by <nc>more statistical classification components</nc> than <nc>other class identifiers</nc>; and <nc>an additional statistical classifier</nc> <nc>that</nc> receives as <nc>an input</nc> <nc>the class identifiers output</nc> from <nc>the plurality</nc> of <nc>statistical classification components</nc> and <nc>that</nc> selects one of <nc>the class identifiers</nc> received in <nc>the input</nc>; and <nc>a parser</nc> <nc>that</nc> receives <nc>the selected class identifier</nc> and <nc>the textual input</nc> and generates <nc>a semantic representation</nc> of <nc>the textual input</nc> based on <nc>the selected class identifier</nc>.
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13. <nc>The text classifier</nc> of <nc>claim</nc> 1 wherein <nc>a number c</nc> of <nc>classes</nc> are supported by <nc>the natural language interface</nc> and wherein <nc>the statistical classifier</nc> comprises <nc>c class-specific statistical language models</nc>.
|
8250018
|
12214347
|
1. An expert system for aiding <nc>engineering personnel</nc> in <nc>a contact lens manufacturing</nc>, comprising: <nc>a user interface</nc> for receiving <nc>a query</nc> from <nc>a user</nc> regarding <nc>an element</nc> of <nc>business entity's industrial environment</nc> in <nc>which</nc> <nc>the user</nc> works in <nc>a contact lens manufacturing related capacity</nc>; a database containing <nc>information</nc> describing <nc>aspects</nc> of <nc>elements</nc> of <nc>the business entity's industrial environment</nc>; <nc>the inference engine subsystem</nc> receives <nc>the query</nc> via <nc>the user interface</nc> and obtains <nc>solution information</nc> from <nc>the database</nc> by matching <nc>keyterms</nc> in <nc>the query</nc>, wherein <nc>the user interface</nc> outputs <nc>the solution information</nc> to <nc>the user</nc>; <nc>an inference engine</nc> matches <nc>keyterms</nc> in <nc>the query</nc> with <nc>keyterms</nc> associated with <nc>rules</nc> to select <nc>a rule</nc> from <nc>the database</nc>; and <nc>the inference engine</nc> obtains <nc>a further question</nc> from <nc>the database</nc> associated with <nc>the selected rule</nc>; <nc>the user interface</nc> prompts <nc>the user</nc> to answer <nc>the further question</nc>; and <nc>the inference engine</nc> determines if <nc>solution information</nc> associated with <nc>a user's answer</nc> to <nc>the further question</nc> is available in <nc>the database</nc>.
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9. <nc>The expert system</nc> claimed in <nc>claim</nc> 1 , further comprising <nc>a feedback subsystem</nc> for updating <nc>the database</nc> in <nc>response</nc> to receiving <nc>feedback information</nc> from <nc>a user</nc>.
|
10055433
|
14489667
|
1. <nc>A method</nc> for providing <nc>deep content search results</nc> by <nc>indexing referenced content</nc>, comprising: evaluating <nc>parent content</nc> to identify <nc>a reference</nc> contained in <nc>the parent content</nc>, wherein <nc>the reference</nc> comprises <nc>a link</nc> to <nc>the referenced content</nc>, and wherein <nc>the referenced content</nc> is external to <nc>the parent content</nc> and is hosted by <nc>a content source</nc>; acquiring <nc>the referenced content</nc> from <nc>the content source</nc> using <nc>the reference</nc>; evaluating <nc>the referenced content</nc> to determine <nc>a search term</nc> <nc>that</nc> is descriptive of <nc>the referenced content</nc>; indexing <nc>the referenced content</nc> with <nc>the parent content</nc> into <nc>a search index</nc> using <nc>the search term</nc>, wherein indexing <nc>the referenced content</nc> with <nc>the parent content</nc> makes <nc>the external referenced content</nc> accessible to <nc>a search function</nc> directed to <nc>the parent content</nc>; receiving <nc>a search query</nc>; and evaluating <nc>the search index</nc> using <nc>the search query</nc>, comprising: responsive to <nc>the search query</nc> corresponding to <nc>the search term</nc>, providing <nc>at least the referenced content</nc> as <nc>a search result</nc> for <nc>the search query</nc>.
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3. <nc>The method</nc> of <nc>claim</nc> 1 , <nc>the indexing</nc> comprising: identifying <nc>a portion</nc> of <nc>the referenced content</nc> having <nc>a descriptive relevancy</nc> exceeding <nc>a threshold</nc>; and indexing <nc>the portion</nc> of <nc>the referenced content</nc> with <nc>the parent content</nc> into <nc>the search index</nc> using <nc>the search term</nc>.
|
9240180
|
13308860
|
1. <nc>A method</nc> comprising: receiving, from <nc>a client</nc>, <nc>text</nc> associated with <nc>a request</nc> for text-to-<nc>speech</nc> synthesis; performing, via <nc>a processor</nc> of <nc>a computing device</nc>, <nc>an analysis</nc> of <nc>the text</nc> to identify <nc>a plurality</nc> of <nc>intonational phrases</nc> in <nc>the text</nc>, wherein <nc>a size</nc> of <nc>the text</nc> being analyzed is based on <nc>a network latency</nc>; generating, via <nc>the processor</nc>, <nc>a first file</nc> containing text-to-<nc>speech</nc> data for <nc>a first intonational phrase</nc> of <nc>the plurality</nc> of <nc>intonational phrases</nc> using a first text-to-<nc>speech</nc> voice, wherein the first text-to-<nc>speech</nc> voice is selected based on <nc>user preferences</nc>, and wherein <nc>the first intonational phrase</nc> is indexed by <nc>a first unique identifier</nc>; generating, via <nc>the processor</nc>, <nc>a second file</nc> containing the text-to-<nc>speech</nc> data for <nc>a second intonational phrase</nc> of <nc>the plurality</nc> of <nc>intonational phrases</nc> using a second text-to-<nc>speech</nc> voice, wherein the second text-to-<nc>speech</nc> voice is selected based on <nc>the user preferences</nc>, and wherein <nc>the second intonational phrase</nc> is indexed by <nc>a second unique identifier</nc>; storing <nc>the first file</nc> and <nc>the second file</nc> in <nc>a cache</nc> on <nc>a web</nc><nc>-</nc><nc>server</nc>; transmitting <nc>the first file</nc> to <nc>the client</nc> in <nc>response</nc> to <nc>the request</nc>; and while <nc>the client</nc> plays <nc>the first file</nc>, generating <nc>additional files</nc> containing additional text-to-<nc>speech</nc> data for <nc>remaining intonational phrases</nc> of <nc>the plurality</nc> of <nc>intonational phrases</nc>, wherein <nc>the remaining intonational phrases</nc> comprise <nc>the second intonational phrase</nc>, and wherein <nc>each</nc> of <nc>the additional files</nc> is indexed by <nc>the first unique identifier</nc> plus <nc>a respective offset</nc>.
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13. <nc>The method</nc> of <nc>claim</nc> 1 , further comprising: generating <nc>parallel versions</nc> of <nc>the first file</nc> and <nc>the additional files</nc> using different text-to-<nc>speech</nc> voices.
|
8645125
|
13075799
|
1. <nc>A method</nc> in <nc>a content recommendation system</nc>, <nc>the method</nc> comprising: under <nc>control</nc> of <nc>a computing system</nc>, extracting <nc>quotations</nc> from <nc>a corpus</nc> of <nc>text documents</nc>; identifying <nc>one or more entities</nc> <nc>that</nc> are referenced by <nc>each</nc> of <nc>the extracted quotations</nc>, <nc>each</nc> of <nc>the identified entities</nc> being electronically represented by <nc>the content recommendation system</nc>; <nc>indexing</nc>, by <nc>the computing system</nc>, <nc>the extracted quotations</nc>, wherein indexing <nc>the extracted quotations</nc> includes storing a speaker-verb-quote triple in <nc>an inverted index</nc> managed by <nc>the content recommendation system</nc>; determining one or more of <nc>the extracted quotations</nc> <nc>that</nc> match <nc>a received quotation search request</nc>; and providing <nc>the determined one or more quotations</nc>.
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11. <nc>The method</nc> of <nc>claim</nc> 1 wherein extracting <nc>quotations</nc> includes attributing <nc>each</nc> of <nc>the extracted quotations</nc> to <nc>a corresponding speaker entity</nc>.
|
8296743
|
11958307
|
1. <nc>A computer-implemented method</nc> comprising: bundling <nc>two or more hardware-specific variants</nc> of <nc>a run-time function</nc> into <nc>a generic function</nc> <nc>that</nc> corresponds to <nc>a parallel programming keyword</nc> of <nc>a parallel programming language</nc>; generating <nc>one or more meta-wrappers</nc> for <nc>the generic function</nc> based on <nc>an annotation</nc> supplied for <nc>each</nc> of <nc>the two or more hardware-specific variants</nc> of <nc>the run-time function</nc>; compiling <nc>source code</nc> of <nc>a user program</nc> <nc>that</nc> comprises <nc>(i) statements</nc> from <nc>a high-level programming language</nc> and <nc>(ii</nc>) <nc>the parallel programming keyword</nc> of <nc>the parallel programming language</nc> to generate <nc>a compiled binary</nc> of <nc>the user program</nc>, the compiled binary comprises (<nc>i</nc>) compiled code <nc>that</nc> corresponds to <nc>the statements</nc> from <nc>the high-level programming language</nc> and <nc>(ii</nc>) a run-time function call to <nc>the generic function</nc> embedded in <nc>the compiled binary</nc> as <nc>a function</nc> of <nc>the one or more meta wrappers</nc>; during <nc>runtime execution</nc> of <nc>the compiled binary</nc>, (i) executing <nc>the run-time function call</nc> to <nc>the generic function</nc> and <nc>(ii</nc>) dynamically selecting <nc>a hardware-specific variant</nc> of <nc>the run-time function</nc> for <nc>a selected sub</nc><nc>-</nc><nc>task</nc> associated with <nc>the parallel programming keyword</nc>; and dispatching <nc>the selected hardware-specific variant</nc> for <nc>execution</nc> on <nc>a hardware processing element</nc> associated with <nc>the selected hardware-specific variant</nc>.
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2. <nc>The method</nc> of <nc>claim</nc> 1 , further comprising: receiving as <nc>an input</nc> <nc>the user program</nc>; and identifying <nc>computations</nc> associated with <nc>the parallel programming keyword</nc> as <nc>sub</nc><nc>-</nc><nc>tasks</nc> <nc>that</nc> have <nc>no global side-effects</nc>.
|
9773056
|
13070465
|
1. <nc>A computer program product</nc> having <nc>a non-transitory computer-readable medium</nc> having <nc>computer program logic</nc> recorded thereon for locating <nc>at least one object</nc> in <nc>a text input</nc>, <nc>the computer program product</nc> comprising: means for parsing <nc>the text input</nc> into <nc>parsed terms</nc>, wherein <nc>the text input</nc> is <nc>a request</nc> to search for <nc>information</nc> in <nc>a repository</nc>, wherein <nc>the means</nc> for parsing <nc>the text input</nc> further comprises <nc>means</nc> for determining <nc>a fractional length</nc>, <nc>the fractional length</nc> indicating <nc>a number</nc> of <nc>term units</nc> from <nc>a first term unit</nc> to <nc>a next functional term unit</nc>; means for analyzing <nc>the parsed terms</nc> to locate <nc>an object term</nc> and <nc>a plurality</nc> of <nc>non-object terms</nc>, wherein <nc>the object term</nc> is <nc>a noun</nc> and <nc>each non-object term</nc> is one of <nc>a verb</nc>, adverb, adjective, <nc>pronoun</nc>, <nc>preposition</nc>, <nc>conjunction</nc>, <nc>article</nc>, and <nc>interjection</nc>, wherein <nc>at least one object term</nc> is placed into <nc>an object string</nc> and <nc>at least one non-object term</nc> is placed into one of <nc>a plurality</nc> of <nc>non-object buckets</nc>; and means for providing <nc>the object string</nc> and <nc>the plurality</nc> of <nc>non-object buckets</nc> to <nc>a search engine</nc>, wherein <nc>the search engine</nc> compares <nc>the object string</nc> and the non-object buckets with <nc>information</nc> in <nc>the repository</nc>.
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14. <nc>The computer program product</nc> of <nc>claim</nc> 1 , wherein <nc>the parsed terms</nc> are in <nc>the form</nc> <nc>a numerical matrix</nc>.
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9246708
|
12386924
|
1. <nc>A social networking website system</nc> <nc>that</nc> supports <nc>user interactions</nc> in <nc>a plurality</nc> of <nc>social networks</nc>, <nc>the social networking website system</nc> comprising: <nc>a server</nc> configured to create <nc>a new social network</nc> automatically, the server enabling <nc>communication</nc> among <nc>a plurality</nc> of <nc>mobile devices</nc> used by <nc>a corresponding plurality</nc> of <nc>users</nc> via <nc>the new social network</nc>, <nc>each</nc> of <nc>the plurality</nc> of <nc>mobile devices</nc> identifies <nc>a corresponding current location information</nc> based on <nc>GPS coordinates</nc>; <nc>the server</nc> automatically, without <nc>need</nc> of <nc>user consent</nc>, without <nc>any upfront registration requirements</nc> or <nc>invitations</nc>, without employing <nc>invitations</nc> and <nc>explicit user acceptance</nc>, automatically registering and including <nc>a first user</nc> among <nc>the plurality</nc> of <nc>users</nc> in <nc>the new social network</nc> based on <nc>the GPS coordinates</nc> from the corresponding one of <nc>the plurality</nc> of <nc>mobile devices</nc>; and <nc>the social networking website system</nc> facilitating <nc>creation</nc> and <nc>sharing</nc> of <nc>new postings</nc>, <nc>the new postings</nc> <nc>each</nc> comprising <nc>audio inputs</nc> recorded by <nc>the user</nc>, a digital photo recorded, <nc>a video</nc> recorded, and <nc>textual inputs</nc> provided by <nc>the user</nc> on <nc>a corresponding one</nc> <nc>the plurality</nc> of <nc>mobile devices</nc>; and <nc>wherein a current location</nc> to <nc>social networks mapping</nc> is used to determine <nc>appropriate social networks</nc> and <nc>associated social groups</nc>, in <nc>the street, city, county</nc>, <nc>region</nc>, <nc>state</nc> or <nc>country</nc> in <nc>which</nc> <nc>the user</nc> can participate in; wherein <nc>the social networking website system</nc> also provides <nc>each user</nc> <nc>the ability</nc> to create <nc>their own social groups</nc> to share <nc>postings</nc> on <nc>common interests</nc> or <nc>affiliations</nc>.
| 3
|
3. <nc>The social networking website system</nc> of <nc>claim</nc> 1 wherein <nc>the current location information</nc> comprises one of <nc>a GPS coordinates</nc> and <nc>a cell identification information</nc>.
|
7676680
|
11177898
|
1. <nc>A computer assisted method</nc> of providing <nc>a private placement document</nc> to <nc>a potential investor</nc> in <nc>a private placement</nc>, <nc>the method</nc> comprising: generating <nc>the private placement document</nc> in <nc>an encrypted electronic format</nc> with <nc>a computer system</nc> comprising <nc>at least one processor</nc> and <nc>operatively associated memory</nc>, wherein generating <nc>the private placement document</nc> includes labeling <nc>the private placement document</nc> with <nc>a unique identifier</nc> and wherein <nc>the private placement document</nc> comprises <nc>a subscription document</nc>; providing <nc>the private placement document</nc> to <nc>the potential investor</nc> electronically with <nc>the computer system</nc>, wherein <nc>the subscription document</nc> is programmed to<nc>: (i</nc>) prompt <nc>the potential investor</nc> to enter <nc>information</nc> relating to <nc>the potential investor</nc> into <nc>the subscription document</nc>; (ii) conditioned upon <nc>the potential investor</nc> declining to enter <nc>the information</nc> relating to <nc>the potential investor</nc> into <nc>the subscription document</nc>, rendering <nc>the private placement document</nc> unreadable by <nc>the potential investor</nc>; (iii) conditioned upon <nc>the information</nc> relating to <nc>the potential investor</nc> failing to meet <nc>a pre-determined qualification standard</nc>, rendering <nc>the private placement document</nc> unreadable by <nc>the potential investor</nc>; and (iv) conditioned upon <nc>the potential investor</nc> failing to enter <nc>the information</nc> relating to <nc>the potential investor</nc> into <nc>the subscription document</nc> within <nc>a predetermined amount</nc> of <nc>time</nc>, rendering <nc>the private placement document</nc> unreadable by <nc>the potential investor</nc>; recording <nc>the unique identifier</nc> at <nc>a database</nc> in <nc>communication</nc> with <nc>the computer system</nc>, wherein <nc>the unique identifier</nc> is recorded at <nc>the database</nc> in <nc>association</nc> with <nc>the potential investor</nc>; electronically receiving <nc>the subscription document</nc> from <nc>the potential investor</nc> with <nc>the computer system</nc>, wherein <nc>the subscription document</nc>, when received from <nc>the potential investor</nc>, comprises <nc>the information</nc> relating to <nc>the potential investor</nc>; and verifying with <nc>the computer system</nc> that <nc>the information</nc> relating to <nc>the potential investor</nc> is correctly entered into <nc>the subscription document</nc>.
| 4
|
4. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the generating</nc> includes incorporating into <nc>the private placement document information</nc> related to <nc>a security</nc> to be offered in <nc>the private placement</nc>.
|
9384292
|
13525126
|
1. <nc>A method</nc> comprising: identifying, by <nc>a linguistic service</nc> and from <nc>content</nc> received from <nc>an application</nc>, <nc>an action</nc> to be performed <nc>that</nc> is not performable by <nc>the linguistic service</nc>, <nc>the content</nc> being usable to perform <nc>the action</nc>; responsive to identifying <nc>the action</nc> to be performed, accessing, by <nc>the linguistic service</nc>, <nc>a customization webpage</nc> <nc>that</nc> is configured to customize <nc>the content</nc> according to <nc>one or more criteria</nc> specified for <nc>the action</nc> to generate <nc>customized content</nc>, <nc>the one or more criteria</nc> specified by <nc>the application</nc>; accessing <nc>another webpage</nc> <nc>that</nc> is to perform <nc>the action</nc> based on <nc>the customized content</nc>, <nc>the other webpage</nc> being separate from <nc>the application</nc>; and causing, by <nc>the linguistic service</nc>, <nc>the customization webpage</nc> to communicate <nc>the customized content</nc> to <nc>the other webpage</nc> <nc>that</nc> is to perform <nc>the action</nc>.
| 5
|
5. <nc>The method</nc> as described in <nc>claim</nc> 1 , further comprising providing <nc>a notification</nc> to <nc>the other webpage</nc> <nc>that</nc> is to perform <nc>the action</nc> to inform said <nc>other webpage</nc> of <nc>the one or more criteria</nc>.
|
9886428
|
14090486
|
1. <nc>A method</nc> comprising: generating <nc>a collaborative email document</nc> comprising <nc>metadata</nc> identifying <nc>collaborators</nc> and <nc>an administrator</nc> of <nc>the collaborative email document</nc> and <nc>an email body</nc> having <nc>editable email message text</nc>, wherein <nc>the collaborative email document</nc> identifies <nc>signatories</nc> to <nc>the collaborative email document</nc>; providing <nc>editable copies</nc> to <nc>the collaborators</nc> of <nc>the collaborative email document</nc> for viewing and editing <nc>the editable email message text</nc> of <nc>the collaborative email document</nc>, wherein <nc>the editable copies</nc> reside on <nc>devices</nc> of <nc>the collaborators</nc>; updating <nc>the editable copies</nc> of <nc>the collaborative email document</nc> on <nc>the devices</nc> of <nc>the collaborators</nc> with <nc>revisions</nc> of <nc>the editable email message text</nc> from <nc>the collaborators</nc>, wherein the updating <nc>the editable email message text</nc> occurs synchronously through <nc>an instant messaging protocol</nc> as <nc>the revisions</nc> are made, and wherein <nc>the instant messaging protocol</nc> is provided by <nc>a server</nc> generating <nc>the collaborative email document</nc>; sending <nc>the collaborative email document</nc> with <nc>the revisions</nc> from <nc>a device</nc> of <nc>the administrator</nc> to <nc>an addressee</nc> in <nc>response</nc> to determining that <nc>the collaborative email document</nc> is digitally signed by <nc>each</nc> of <nc>the signatories</nc>; and alerting <nc>the signatories</nc> to sign <nc>the collaborative email document</nc> through <nc>the instant messaging protocol</nc>.
| 5
|
5. <nc>The method</nc> of <nc>claim</nc> 1 further comprising: establishing <nc>one or more authority delegation type parameters</nc>, wherein <nc>the authority delegation type parameters</nc> identify <nc>modes</nc> by <nc>which</nc> to delegate <nc>authority</nc> to digitally sign <nc>the collaborative email document</nc>; assigning <nc>at least one authority delegation type parameter</nc> to <nc>the collaborative email document</nc>; and delegating, from <nc>at least one signatory</nc> to <nc>another signatory</nc> in <nc>accordance</nc> with <nc>the assigned at least one authority delegation type parameter</nc>, <nc>the authority</nc> to digitally sign <nc>the collaborative email document</nc>.
|
7496497
|
10741579
|
1. <nc>A method</nc> to allow <nc>a user</nc> to select <nc>a web site home page</nc> in <nc>a desired language</nc> comprising <nc>the steps</nc> of: identifying within <nc>a web address request</nc> to said <nc>web site</nc> <nc>a directional information item</nc> by extracting from <nc>said request</nc> <nc>a site language cookie</nc> stored in said <nc>user's access device</nc>; providing <nc>a web page</nc> associated with <nc>said web address</nc> to <nc>a second web site</nc> corresponding to said <nc>directional informational item</nc>, wherein said <nc>second web site</nc> includes <nc>a language translator</nc>; translating <nc>information</nc> on <nc>said web page</nc> in <nc>accordance</nc> with <nc>said language translator</nc>; and returning said <nc>translated web page</nc> to said <nc>user</nc>.
| 2
|
2. <nc>The method</nc> as recited in <nc>claim</nc> 1 , wherein <nc>the step</nc> of translating further comprises <nc>the steps</nc> of: accessing <nc>a control table</nc> to determine <nc>a status</nc> of <nc>said web page</nc>; and accessing <nc>a version</nc> of <nc>said web page</nc> stored locally on <nc>said second web site</nc>, when said <nc>status</nc> indicates said <nc>web page</nc> is locally stored and valid; otherwise obtaining <nc>a current version</nc> of <nc>said web page</nc>; and translating said <nc>obtained web page</nc>.
|
7921356
|
12841302
|
1. At least one non-transitory computer readable medium encoded with <nc>instructions</nc> <nc>which</nc>, when loaded on <nc>a computer</nc>, establish <nc>processes</nc> for <nc>contact information handling</nc>, implemented by <nc>a document editing program</nc> running in <nc>the computer</nc>, <nc>the processes</nc> comprising: allowing <nc>a user</nc> to enter <nc>textual information</nc> into <nc>a document</nc> using <nc>the document editing program</nc>; displaying <nc>the textual information</nc> in <nc>the document</nc> electronically using <nc>the document editing program</nc>; allowing, in <nc>the document editing program</nc>, <nc>the user</nc> to select in <nc>the document</nc> <nc>at least a portion</nc> of <nc>the textual information</nc> while <nc>the textual information</nc> is displayed; following <nc>user selection</nc> of <nc>textual information</nc> in <nc>the document</nc>, analyzing, by <nc>the document editing program</nc>, <nc>the selected textual information</nc> to determine if <nc>the selected textual information</nc> is regarded by <nc>the document editing program</nc> as <nc>contact information</nc> and <nc>what type</nc> or <nc>types</nc> of <nc>contact information</nc> <nc>the selected textual information</nc> is; providing <nc>an input device</nc> configured by <nc>the document editing program</nc> to allow <nc>the user</nc> to initiate <nc>an operation</nc>, <nc>such operation</nc> being of <nc>a type</nc> depending at least in <nc>part</nc> on <nc>the type</nc> or <nc>types</nc> of <nc>contact information</nc> of <nc>the selected textual information</nc>, <nc>the operation</nc> comprising identifying <nc>at least part</nc> of <nc>the selected textual information</nc> to use as <nc>a search term</nc> in <nc>order</nc> to find <nc>second information</nc>, of <nc>a specific type</nc> or <nc>types</nc>, associated with <nc>the search term</nc> in <nc>an information source</nc> external to <nc>the document</nc>; after identifying <nc>at least part</nc> of <nc>the selected information</nc> to use as <nc>a search term</nc>, and in <nc>consequence</nc> of <nc>receipt</nc> by <nc>the document editing program</nc> of <nc>an execute command</nc> from <nc>the input device</nc>, performing <nc>the operation</nc>, wherein <nc>the operation</nc> further comprises: causing <nc>an electronic search</nc> in <nc>the information source</nc>, by <nc>an information management program</nc> external to <nc>the document editing program</nc>, for <nc>the search term</nc> in <nc>order</nc> to find whether <nc>the search term</nc> is included in <nc>the information source</nc>; and performing <nc>an action</nc> having <nc>a type</nc>, wherein <nc>the type</nc> of <nc>action</nc> depends at least in <nc>part</nc> on whether <nc>the search term</nc> is included in <nc>the information source</nc>, and if <nc>the search term</nc> is so included, and if <nc>the information source</nc> includes <nc>the second information</nc>, <nc>the action</nc> comprises causing <nc>insertion</nc> of <nc>at least part</nc> of <nc>the second information</nc> into <nc>the document</nc>.
| 3
|
3. At least one non-transitory computer readable medium according to <nc>claim</nc> 1 , wherein <nc>the instructions</nc> establish <nc>processes</nc> wherein: when (i) <nc>the information source</nc> includes <nc>the search term</nc>, <nc>(ii</nc>) <nc>the selected textual information</nc> includes <nc>a name</nc>, (iii) <nc>the information source</nc> further includes <nc>the second information</nc>, and (iv) <nc>the second information</nc> includes <nc>an address</nc>, <nc>the action</nc> further comprises causing <nc>insertion</nc> of <nc>at least part</nc> of <nc>the address</nc> into <nc>the document</nc>.
|
9858257
|
15215504
|
1. <nc>A method</nc> comprising: determining, based at least in <nc>part</nc> on <nc>contextual data</nc> associated with <nc>one or more past publications</nc>, <nc>a plurality</nc> of <nc>indicators</nc>, wherein <nc>at least an indicator</nc> of <nc>the plurality</nc> of <nc>indicators</nc> correlates with <nc>a past intentional linguistic deviation</nc> (<nc>ILD</nc>) included within <nc>the one or more past publications</nc>; determining <nc>a weighting factor</nc> associated with <nc>the indicator</nc>; generating, using <nc>the plurality</nc> of <nc>indicators</nc> and <nc>the weighting factor</nc>, <nc>an ILD prediction model</nc> to determine <nc>an ILD probability score</nc> based at least in <nc>part</nc> on <nc>an occurrence</nc> of <nc>the indicator</nc> in <nc>association</nc> with <nc>a new linguistic deviation</nc> included within <nc>a new publication</nc>; determining <nc>new contextual data</nc> associated with <nc>the new linguistic deviation</nc>, <nc>the new contextual data</nc> including <nc>at least the indicator</nc>; determining, using <nc>the ILD prediction model</nc>, and based at least in <nc>part</nc> on <nc>the new contextual data</nc> and <nc>the weighting factor</nc>, the ILD probability score for <nc>the new linguistic deviation</nc>; determining that <nc>the ILD probability score</nc> exceeds <nc>a threshold score</nc>; determining that <nc>the new linguistic deviation</nc> is <nc>a new ILD</nc> based at least in <nc>part</nc> on <nc>the ILD probability score</nc> exceeding <nc>the threshold score</nc>; and generating <nc>a linguistic deviation report</nc> for <nc>the new publication</nc>, wherein <nc>the linguistic deviation report</nc> omits <nc>an indication</nc> of <nc>the new ILD</nc>.
| 7
|
7. <nc>The method</nc> as recited in <nc>claim</nc> 1 , further comprising determining <nc>a publication series specific linguistic deviation</nc> corresponding to <nc>a subset</nc> of <nc>the one or more past publications</nc>, <nc>the subset corresponding</nc> to at least one of <nc>an author</nc> or <nc>a series</nc> of <nc>related publications</nc>, wherein determining <nc>the ILD probability score</nc> is further based at least in <nc>part</nc> on <nc>a determination</nc> that <nc>the new linguistic deviation</nc> corresponds to at least one of <nc>the author</nc> or <nc>the series</nc> of <nc>related publications</nc>.
|
9111146
|
13438435
|
1. <nc>A method</nc> for classifying <nc>a video file</nc> according to <nc>one or more scene classes</nc>, <nc>the video file</nc> including <nc>a plurality</nc> of <nc>frames</nc>, where <nc>each frame</nc> of <nc>the plurality</nc> of <nc>frames</nc> includes <nc>a plurality</nc> of <nc>pixels</nc>, and where <nc>each pixel</nc> of <nc>the plurality</nc> of <nc>pixels</nc> is associated with <nc>a vector</nc> of <nc>material classification scores</nc> describing <nc>material content</nc> in <nc>its respective frame</nc>, comprising: for <nc>each frame</nc> of <nc>the plurality</nc> of <nc>frames</nc>, generating <nc>one or more scene</nc> <nc>classification scores</nc> associated with <nc>each</nc> of <nc>the one or more scene classes</nc> by: dividing <nc>the frame</nc> into <nc>a plurality</nc> of <nc>grid cells</nc>; retrieving <nc>the vector</nc> of <nc>material classification scores</nc> for <nc>each pixel</nc> in <nc>the frame</nc>; for <nc>each grid cell</nc> of <nc>the plurality</nc> of <nc>grid cells</nc>, averaging <nc>the material classification scores</nc> across <nc>each pixel</nc> in <nc>the grid cell</nc> to form <nc>a material occurrence vector</nc> for <nc>the grid cell</nc>; concatenating <nc>the material occurrence vectors</nc> for <nc>each grid cell</nc> of <nc>the plurality</nc> of <nc>grid cells</nc> to generate <nc>a material arrangement vector</nc> for <nc>the frame</nc>; and based on <nc>the material arrangement vector</nc> generated for <nc>the frame</nc>, generating <nc>the one or more scene classification scores</nc> associated with <nc>each</nc> of <nc>the one or more scene classes</nc> using <nc>one or more scene classifiers</nc>; based on <nc>the one or more scene classification scores</nc> generated for <nc>each frame</nc> of <nc>the plurality</nc> of <nc>frames</nc>, generating <nc>a representative scene classification score</nc> for <nc>each</nc> of <nc>the one or more scene classes</nc>; and for <nc>each</nc> of <nc>the generated representative scene classification scores</nc> <nc>that</nc> is above <nc>a predetermined threshold value</nc>, labeling <nc>the video file</nc> according to <nc>the respective scene classes</nc> associated with <nc>the scene classification scores</nc> <nc>that</nc> are above <nc>the predetermined threshold value</nc>.
| 13
|
13. <nc>The method</nc> of <nc>claim</nc> 1 , where <nc>the video file</nc> comprises <nc>a shot</nc> of <nc>video</nc>.
|
7571389
|
09870621
|
1. <nc>A system</nc> of <nc>software components</nc> stored on <nc>a computer-readable medium</nc> adapted to display <nc>an object</nc> created by <nc>an application program</nc> running under <nc>an operating system</nc> by reproducing <nc>the behavior</nc> of <nc>legacy AWT-based controls</nc> by switching between <nc>swing controls</nc>, wherein <nc>the system</nc> of <nc>software components</nc> comprises: <nc>a first swing proxy component</nc>; <nc>a second swing proxy component</nc>; <nc>a peer component</nc> for selecting <nc>either the first proxy component</nc> or <nc>the second proxy component</nc>, depending on <nc>a mode</nc> of <nc>use</nc> of <nc>the object</nc>, where <nc>selection</nc> is based upon <nc>which swing component</nc> is capable of supporting <nc>the mode</nc> of <nc>use</nc>, wherein <nc>the selection</nc> can be made during <nc>runtime</nc>, and wherein after <nc>the proxy component</nc> is selected, <nc>the selected proxy component</nc> dynamically creates <nc>a new graphics resource component</nc> for displaying <nc>the object</nc>, such that <nc>the appearance</nc> of <nc>the displayed object</nc> is substantially independent of <nc>the operating system</nc>.
| 9
|
9. <nc>The system</nc> as recited in <nc>claim</nc> 1 , wherein <nc>the application program</nc> is written in <nc>Java programming language</nc>.
|
8959429
|
13484821
|
1. <nc>A computer-network system</nc> implemented by <nc>an online stationery/card service</nc> for <nc>a user</nc> to personalize and send <nc>stationery/cards</nc> using <nc>a client device</nc>, <nc>the system</nc> comprising: <nc>a computer server</nc> configured to communicate with <nc>a client device</nc> and enable <nc>a user</nc> to personalize and send <nc>non-electronic stationery/cards</nc> using <nc>the client device</nc>, wherein <nc>the computer server</nc> is configured to enable <nc>a reminder list</nc> displayed on <nc>the client device</nc>, wherein <nc>the reminder list</nc> comprises <nc>a plurality</nc> of <nc>reminder entries</nc> <nc>each</nc> identifying <nc>an upcoming event</nc> associated with <nc>one or more contacts</nc> of <nc>the user</nc> stored in <nc>a contacts database</nc>, wherein <nc>the reminder list</nc> is organized based on <nc>a prioritization scheme</nc> with <nc>a highest priority event</nc> selected within <nc>the reminder list</nc>, wherein <nc>the computer server</nc> is configured to enable <nc>a recommendation region</nc> displayed on <nc>the client device</nc>, wherein <nc>the computer server</nc> is configured to populate <nc>the recommendation region</nc> with <nc>one or more recommended stationery/card designs</nc> for <nc>the highest priority event</nc> in <nc>the reminder list</nc>; and <nc>a stationery/card personalization engine</nc> configured to receive, from <nc>the user</nc>, <nc>a selection</nc> of one of <nc>the one or more recommended stationery/card designs</nc> in <nc>the recommendation region</nc> using <nc>the client device</nc>, to provide <nc>the user</nc> with <nc>a set</nc> of <nc>personalization options</nc> related to <nc>the selected stationery/card design</nc>, and to generate <nc>a personalized stationery/card</nc> based on <nc>the selected stationery/card design</nc> and <nc>the user's input</nc>.
| 17
|
17. <nc>The computer-network system</nc> as in <nc>claim</nc> 1 , wherein <nc>the computer server</nc> is configured to enable <nc>a schedule calendar</nc> displayed on <nc>the client device</nc> to allow <nc>the user</nc> to select <nc>a delivery date</nc> for <nc>the personalized stationery/card</nc>.
|
7668812
|
11382452
|
1. <nc>A method</nc> performed by <nc>a data processing apparatus</nc>, <nc>the method</nc> comprising: receiving <nc>a search query</nc> over <nc>a network</nc>, <nc>the search query</nc> comprising <nc>a query term</nc> and <nc>a categorical identifier</nc>; selecting <nc>a domain name</nc> associated with <nc>the categorical identifier</nc>; generating, based on selecting <nc>a first result set</nc> of <nc>resources</nc> responsive to <nc>the query term</nc>, <nc>a second result</nc> set of <nc>resources</nc> in <nc>which</nc> <nc>a respective domain name</nc> for <nc>each resource</nc> matches <nc>the determined domain name</nc> associated with <nc>the categorical identifier</nc>; selecting <nc>a resource identifier</nc> associated with <nc>the categorical identifier</nc>, <nc>the selected resource identifier</nc> comprising <nc>the determined domain name</nc> and <nc>a path</nc>; enhancing <nc>a respective relevance score</nc> of <nc>each resource</nc> in <nc>the second result</nc> set <nc>whose respective resource identifier</nc> includes <nc>the selected resource identifier</nc>, <nc>a magnitude</nc> of <nc>enhancement</nc> being based on <nc>a weight</nc> associated with <nc>the categorical identifier</nc>, <nc>the respective relevance score</nc> indicating <nc>a degree</nc> of <nc>relevance</nc> between <nc>the resource</nc> and <nc>the query term</nc>; ranking <nc>each</nc> of <nc>the resources</nc> in <nc>the second result</nc> set based on <nc>the respective relevance scores</nc>; annotating, with <nc>categorical identifier</nc>, <nc>one or more indicia</nc> identifying <nc>the resources</nc> of <nc>the ranked second result</nc> set <nc>whose respective resource identifier</nc> matches <nc>the selected resource identifier</nc> associated with <nc>the categorical identifier</nc>; and providing <nc>the annotated indicia</nc> over <nc>the network</nc> as <nc>a search engine result</nc> of <nc>the search query</nc>.
| 5
|
5. <nc>The method</nc> of <nc>claim</nc> 1 , further comprising: determining <nc>a weight</nc> associated with <nc>the categorical identifier</nc>.
|
8781991
|
13297139
|
1. <nc>An emotion recognition apparatus</nc>, comprising: <nc>a data collection unit</nc> configured to collect <nc>sensing data</nc> from <nc>a terminal</nc>; <nc>a first emotion value acquisition unit</nc> configured to acquire <nc>a first emotion value</nc> corresponding to <nc>a first axis</nc> of <nc>a multidimensional emotion model</nc> based on <nc>an amount</nc> or <nc>an intensity</nc> of <nc>the sensing data</nc>; <nc>a second emotion value acquisition unit</nc> configured to acquire <nc>a second emotion value</nc> corresponding to <nc>a second axis</nc> of <nc>the multidimensional emotion model</nc> based on <nc>a textual meaning</nc> of <nc>the sensing data</nc>; and <nc>an emotion estimation unit</nc> configured to estimate <nc>an emotional state</nc> of <nc>a user</nc> based on <nc>the first emotion value</nc> and <nc>the second emotion value</nc>.
| 31
|
31. <nc>The emotion recognition apparatus</nc> of <nc>claim</nc> 1 , wherein <nc>the first emotion value</nc> and <nc>the second emotion value</nc> are <nc>values</nc> of <nc>Watson-Tellegen's emotion model</nc>.
|
8669455
|
13240826
|
1. <nc>A method</nc> for composing <nc>a musical composition</nc>, <nc>the method</nc> comprising <nc>the steps</nc> of: (a) providing <nc>a computer interface device</nc> adapted for <nc>alphabetical character input</nc> or <nc>numerical character input</nc>, and connecting <nc>said device</nc> to <nc>a computer</nc> programmed to recognize <nc>the alphabetical character input</nc> or <nc>numerical character input</nc>, and output <nc>a musical composition</nc> based on <nc>the alphabetical character input</nc> or <nc>numerical character input</nc>; (b) displaying <nc>at least one word</nc> having <nc>a plurality</nc> of <nc>alphabetical characters</nc> via <nc>a monitor</nc> connected to <nc>the computer</nc>; (c) displaying <nc>a plurality</nc> of <nc>colors</nc> via <nc>the monitor</nc> connected to <nc>the computer</nc>; (d) displaying <nc>a plurality</nc> of <nc>musical notes</nc> via <nc>the monitor</nc> connected to <nc>the computer</nc>; <nc>(e) enabling assignment</nc> of each one of <nc>the plurality</nc> of <nc>colors</nc> to each one of <nc>the plurality</nc> of <nc>alphabetical characters</nc> via one of <nc>the computer interface device</nc> and automatically via <nc>the computer</nc>; (<nc>f) enabling assignment</nc> of each one of <nc>the plurality</nc> of <nc>musical notes</nc> to each one of <nc>the plurality</nc> of <nc>colors</nc> to form <nc>the musical composition</nc> via <nc>the computer interface device</nc>; and (g) displaying <nc>the musical composition</nc> to enable <nc>playback</nc> thereof.
| 4
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4. <nc>The method</nc> according to <nc>claim</nc> 1 , wherein <nc>the at least one word</nc> is <nc>a plurality</nc> of <nc>predetermined words</nc> <nc>that</nc> form <nc>a phrase</nc>, <nc>the plurality</nc> of <nc>predetermined words</nc> stored in <nc>a memory</nc> of <nc>the computer</nc>.
|
7937354
|
11872328
|
1. <nc>A computer-implemented method</nc> comprising: automatically generating, at <nc>a local rule engine</nc>, <nc>a rule engine vocabulary</nc> comprising <nc>a context description</nc> and <nc>a result description</nc> <nc>that</nc> respectively define <nc>an input</nc> to and <nc>an output</nc> of <nc>an external rule engine</nc>, <nc>the rule engine vocabulary</nc> defining <nc>a data type</nc> of <nc>a result</nc>; serializing <nc>the rule engine vocabulary</nc> in <nc>a schema document</nc> <nc>that</nc>, when received at <nc>the external rule engine</nc>, allows <nc>a rule</nc> to be defined by <nc>the external rule engine</nc> based on <nc>the context description</nc> and <nc>the result description</nc>; transmitting <nc>the schema document</nc> to <nc>the external rule engine</nc>; transmitting <nc>a context</nc> specified according to <nc>the context description</nc> as <nc>the input</nc> to <nc>the external rule engine</nc>, for <nc>evaluation</nc> by <nc>the rule</nc> to provide <nc>the result</nc> corresponding to <nc>the data type</nc>; receiving, at <nc>the local rule engine</nc>, <nc>the result</nc> specified according to <nc>the result description</nc> as <nc>the output</nc> of <nc>the external rule engine</nc>; and outputting <nc>the result</nc>.
| 12
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12. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the context</nc> is transmitted as <nc>an eXtensible Markup Language</nc> <nc>(XML</nc>) <nc>Schema Document</nc> (<nc>XSD</nc>).
|
9613340
|
13160772
|
1. <nc>A method</nc> executed by <nc>a computer</nc> comprising <nc>a video display</nc>, of determining <nc>approval</nc> of <nc>an electronic document</nc> by <nc>one or more personnel</nc> comprising: Receiving <nc>data</nc> representing <nc>a first document type</nc>; Storing <nc>data</nc> representing <nc>a recipient list</nc> comprised of <nc>data</nc> representing <nc>members</nc> of <nc>the list</nc>; Storing <nc>a data structure</nc> representing <nc>an association</nc> between <nc>the received first document type</nc> and received <nc>the stored recipient list</nc> where said <nc>data structure</nc> is characterized by having <nc>a write access permission</nc>; Receiving <nc>a document data file</nc>, comprised of <nc>a document</nc>, from <nc>a remote computer</nc> operated by <nc>a user</nc> excluded from <nc>the write access permission</nc>; Extracting <nc>at least one data</nc> from <nc>the contents</nc> of <nc>the received document data file</nc> and using <nc>the extracted data</nc> to determine <nc>a second document type</nc> associated with <nc>the document</nc> comprising <nc>the received document data file</nc> by using <nc>text string matching</nc>; Selecting by <nc>use</nc> of <nc>the determined second document type</nc> <nc>the stored recipient list</nc> <nc>that</nc> corresponds to <nc>the first document type</nc> by determining using <nc>logic</nc> that <nc>the first document type</nc> is the same as <nc>the second document type</nc>; Retrieving <nc>the selected recipient list</nc>; <nc>Transmitting</nc> said received <nc>document data file</nc> to <nc>the members</nc> of <nc>the selected recipient list</nc>; Receiving <nc>at least one data message</nc> from <nc>at least one corresponding members</nc> of <nc>the selected recipient list</nc>, said received <nc>data message</nc> comprised of <nc>data</nc> representing <nc>the identity</nc> of the at least one of <nc>the recipients</nc> on <nc>the selected recipient list</nc>, <nc>an identity</nc> of <nc>the document</nc> comprising <nc>the received document data file</nc> and <nc>a data value</nc> representing <nc>an approval</nc> or <nc>a denial</nc>; Storing in <nc>a data record</nc> associated with <nc>the identity</nc> of <nc>the document</nc> comprising <nc>the document data</nc> file <nc>a data value</nc> representing <nc>the received data value</nc>.
| 7
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7. <nc>The method</nc> of <nc>claim</nc> 1 further comprising: Detecting <nc>a condition</nc> that <nc>either a data value representing approval</nc> has been received from <nc>all</nc> of <nc>the members</nc> of <nc>the recipient list</nc> or <nc>a data value representing approval</nc> has been received from one of <nc>the members</nc> of <nc>the recipient list</nc>; and Upon <nc>detection</nc> of <nc>the condition</nc>, transmitting <nc>a message</nc> embodying <nc>data</nc> representing <nc>an approval</nc> of <nc>the identified document</nc>.
|
8352487
|
11823067
|
1. <nc>A computer-implemented method</nc>: a) initiating <nc>formation</nc> of <nc>a query</nc> using <nc>controlled vocabulary</nc> of <nc>ItemSelectors</nc> by presenting <nc>a plurality</nc> of <nc>such ItemSelectors</nc> to <nc>a user</nc> for <nc>selection</nc> on <nc>a database interface machine display</nc>, <nc>each ItemSelector</nc> thus presented to <nc>the user</nc> <nc>i</nc>) having <nc>a Boolean property</nc> associated therewith, and ii) having been determined to describe <nc>at least one data Item</nc> in <nc>the database</nc>; b) incorporating <nc>an ItemSelector</nc> selected by <nc>the user</nc> from among <nc>those</nc> presented as <nc>part</nc> of <nc>currently selected ItemSelectors</nc>; c) changing <nc>the ItemSelectors</nc> presented to <nc>the user</nc> as necessary after <nc>each user selection</nc> such that <nc>each ItemSelector</nc> presented, when combined according to <nc>the corresponding Boolean properties</nc> with <nc>all other currently selected ItemSelectors</nc>, is determined to describe <nc>at least one data Item</nc> in <nc>the database</nc>; d) repeating (<nc>b</nc>) and (c) until <nc>a plurality</nc> of <nc>ItemSelectors</nc> are currently selected, including <nc>i</nc>) <nc>at least a first ItemSelector</nc> having <nc>a first Boolean property</nc> associated therewith, and ii) <nc>at least a second ItemSelector</nc> having <nc>a different second Boolean property</nc> associated therewith; e) deriving from <nc>the selected ItemSelectors</nc> <nc>a Boolean expression</nc> encompassing <nc>the first and second ItemSelectors</nc> and reflecting <nc>the corresponding associated Boolean properties</nc> of <nc>each ItemSelector</nc>; f) associating <nc>each</nc> of <nc>a multiplicity</nc> of <nc>data Items</nc> of <nc>a database</nc> with <nc>a unique corresponding value</nc> of <nc>a first matrix variable</nc>; associating <nc>each</nc> of <nc>a multiplicity</nc> of <nc>ItemSelectors</nc> of <nc>the database</nc> with <nc>a unique corresponding value</nc> of <nc>a second matrix variable</nc>; determining <nc>all ItemSelectors</nc> associated with <nc>each data Item</nc> and/or <nc>all data Items</nc> associated with <nc>each ItemSelector</nc>; and g) storing <nc>the determined associations</nc> between <nc>ItemSelectors</nc> and <nc>data Items</nc> in <nc>an Item-ItemSelector Association array</nc> in <nc>an electronically readable memory module</nc> coupled to <nc>the interface machine</nc> as <nc>a pair</nc> of <nc>indices</nc> of <nc>the Item-ItemSelector Association array</nc>.
| 8
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8. <nc>The method</nc> of <nc>claim</nc> 1 , wherein (a) comprises presenting to <nc>the user</nc> <nc>a plurality</nc> of <nc>groups</nc> of <nc>ItemSelectors</nc> including: <nc>i</nc>) <nc>a first group</nc> consisting of <nc>ItemSelectors</nc> associated with <nc>the first Boolean property</nc>, and <nc>ii</nc>) <nc>a second group</nc> consisting of <nc>ItemSelectors</nc> associated with <nc>the second Boolean property</nc>.
|
8799210
|
12362578
|
1. <nc>A framework</nc> suitable for <nc>use</nc> in <nc>transition</nc> of <nc>one or more applications</nc> of <nc>an organization</nc>, <nc>the one or more applications</nc> being transitioned from <nc>a first set</nc> of <nc>users</nc> to <nc>a second set</nc> of <nc>users</nc>, the framework comprising: <nc>a.</nc> <nc>a transition module</nc> configured for generating <nc>one or more transition plans</nc> for <nc>the one or more applications</nc>, <nc>the one or more transition plans</nc> being generated based on <nc>information</nc> corresponding to <nc>the one or more applications</nc>, the one or more transition plans comprising <nc>one or more transition activities</nc>; b. a knowledge capture module configured for: <nc>i.</nc> capturing <nc>a plurality</nc> of <nc>knowledge elements</nc> corresponding to <nc>the one or more applications</nc> and <nc>the one or more transition activities</nc>, wherein <nc>the plurality</nc> of <nc>knowledge elements</nc> are captured using (1) <nc>one or more knowledge capturing tools</nc> and (2) <nc>one or more predefined knowledge reference components</nc>, and wherein <nc>the plurality</nc> of <nc>knowledge elements</nc> comprise <nc>a set</nc> of <nc>source code</nc>, <nc>a use case</nc>, and an incident resolution; and ii. associating <nc>each</nc> of <nc>the plurality</nc> of <nc>knowledge elements</nc> corresponding to <nc>an application</nc> being transitioned with <nc>one or more other knowledge elements</nc> corresponding to <nc>the same application</nc>, wherein <nc>the associations</nc> enable <nc>identification</nc> or <nc>search</nc> of <nc>knowledge elements</nc> corresponding to <nc>said application</nc>; <nc>c. a knowledge validation module</nc> configured for: <nc>i.</nc> securing from <nc>the second set</nc> of <nc>users responses</nc> to <nc>queries</nc> regarding <nc>the captured knowledge elements</nc> and <nc>the associations</nc> between <nc>the plurality</nc> of <nc>knowledge elements</nc>; and <nc>ii</nc>. enabling <nc>the first set</nc> of <nc>users</nc> to evaluate <nc>the responses</nc> received from <nc>the second set</nc> of <nc>users</nc> for assessing and validating <nc>the knowledge</nc> of <nc>the second set</nc> of <nc>users</nc> regarding <nc>the plurality</nc> of <nc>knowledge elements</nc> and <nc>the association</nc> between <nc>the plurality</nc> of <nc>knowledge elements</nc>, wherein <nc>the validation</nc> is performed based on <nc>a predefined set</nc> of <nc>rules</nc>; and <nc>d.</nc> <nc>a collaboration module</nc> configured for providing <nc>collaboration</nc> between <nc>the first set</nc> of <nc>users</nc> and <nc>the second set</nc> of <nc>users</nc>, wherein <nc>the collaboration</nc> enables <nc>communication</nc> between <nc>the first set</nc> of <nc>users</nc> and <nc>the second set</nc> of <nc>users</nc> during <nc>the transition</nc> of <nc>the one or more applications</nc>.
| 9
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9. <nc>The framework</nc> of <nc>claim</nc> 1 , wherein <nc>the knowledge capture module</nc> comprises <nc>a knowledge extraction module</nc> configured for extracting <nc>the information</nc> corresponding to <nc>the one or more applications</nc> from <nc>the first set</nc> of <nc>users</nc>.
|
8700619
|
12374657
|
1. <nc>A computer-implemented method</nc> for providing <nc>search results</nc> to <nc>a user</nc>, <nc>the method</nc> comprising: receiving <nc>a search query</nc> from <nc>the user</nc>, <nc>the search query</nc> being associated with <nc>a particular date</nc> and comprising <nc>a plurality</nc> of <nc>search terms</nc>; forming, using <nc>a processor</nc>, <nc>a query</nc> feature <nc>vector</nc> for <nc>the search query</nc>, <nc>the query</nc> feature <nc>vector</nc> comprising <nc>a set</nc> of <nc>numerical values</nc> associated with <nc>the search terms</nc>; accessing <nc>news feature vectors</nc> associated with <nc>documents</nc> related to <nc>current events</nc>, the current events documents having <nc>publication dates</nc> <nc>that</nc> are temporally proximate to <nc>the particular date</nc>, and <nc>the news</nc> feature vectors comprising <nc>sets</nc> of <nc>numerical values</nc> associated with <nc>terms</nc> in <nc>corresponding ones</nc> of <nc>the current events documents</nc>; generating <nc>an augmented query</nc> feature <nc>vector</nc> based on <nc>the query</nc> feature <nc>vector</nc> and at least one of <nc>the news feature vectors</nc>, <nc>the generating</nc> comprising: identifying <nc>a subset</nc> of <nc>the news feature vectors</nc> associated with at least one of <nc>the search terms</nc> and at least one of <nc>the terms</nc> within <nc>the current events documents</nc>; generating <nc>a centroid feature vector</nc> for <nc>the subset</nc> of <nc>the news feature vectors</nc>, based on <nc>the sets</nc> of <nc>numerical values</nc> of <nc>the subset</nc> of <nc>the news feature vectors</nc>; forming <nc>the augmented query</nc> feature <nc>vector</nc>, based on <nc>a comparison</nc> of <nc>the query</nc> feature <nc>vector</nc> and <nc>the centroid feature vector</nc>, accessing <nc>target feature vectors</nc> associated with <nc>target documents</nc>, <nc>each the target</nc> feature <nc>vectors</nc> comprising <nc>sets</nc> of <nc>numerical values</nc> associated with <nc>terms</nc> in <nc>corresponding ones</nc> of <nc>the target documents</nc>; computing <nc>first metrics</nc> of <nc>similarity</nc> between <nc>the augmented query</nc> feature <nc>vector</nc> and <nc>the target</nc> <nc>feature vectors</nc>, <nc>the first similarity metrics</nc> comprising at least one of <nc>distances</nc> or <nc>angles</nc> between <nc>the augmented query</nc> feature <nc>vector</nc> and <nc>the target</nc> <nc>feature vectors</nc>; identifying <nc>search results</nc> based on <nc>the computed first similarity metrics</nc>, <nc>the search results</nc> comprising <nc>information</nc> associated with <nc>at least a portion</nc> of <nc>the target documents</nc>; and enabling <nc>the user</nc> to perceive at least one of <nc>the identified search results</nc>.
| 21
|
21. <nc>The method</nc> of <nc>claim</nc> 1 , wherein enabling <nc>the user</nc> to perceive <nc>the search results</nc> comprises: distinguishing <nc>a first portion</nc> of <nc>the search results</nc> <nc>that</nc> are closely related to <nc>a current event</nc> and <nc>a second portion</nc> of <nc>the search results</nc> <nc>that</nc> have <nc>no particular known relationship</nc> with <nc>the current event</nc>; and providing <nc>the search results</nc> to <nc>the user</nc> as <nc>a perceivable list</nc> of <nc>search results</nc>, <nc>the first search results</nc> being separated from <nc>the second search results</nc> using <nc>a label</nc>.
|
4590605
|
06449660
|
1. <nc>A method</nc> for <nc>production</nc> of <nc>speech reference templates</nc> for <nc>phoneme groups</nc> for <nc>use</nc> in <nc>speech recognition</nc>, <nc>each</nc> of <nc>said phoneme groups</nc> containing <nc>at least one phoneme</nc>, <nc>the method</nc> comprising <nc>the steps</nc> of: preparing <nc>first speech patterns</nc> with <nc>respect</nc> to <nc>speeches</nc> of <nc>plural speakers</nc>, said <nc>first speech patterns</nc> corresponding to <nc>a word</nc> <nc>which</nc> is stable by <nc>utterance</nc>; classifying said <nc>speeches</nc> of said <nc>plural speakers</nc> into <nc>speech groups</nc> by <nc>use</nc> of <nc>differences</nc> in said first speech patterns caused by <nc>physical features</nc> of <nc>said speakers</nc>; preparing <nc>second speech patterns</nc> with <nc>respect</nc> to said <nc>speeches</nc> of said <nc>plural speakers</nc>, said <nc>speech patterns</nc> corresponding to <nc>a phoneme group</nc> containing <nc>at least one phoneme</nc>; subclassifying <nc>the speeches</nc> of said <nc>plural speakers</nc> in <nc>each</nc> of <nc>said speech groups</nc> into <nc>speech subgroups</nc> by <nc>the use</nc> of <nc>differences</nc> in said <nc>second speech patterns</nc> caused by <nc>features</nc> of <nc>speech</nc> occurring by <nc>utterance</nc>; and selecting <nc>a plurality</nc> of <nc>second speech patterns</nc> among <nc>the second speech patterns</nc> in <nc>each</nc> of <nc>said speech subgroups</nc> and assigning said <nc>selected plurality</nc> of <nc>second speech patterns</nc> to be <nc>the speech reference template</nc> for <nc>each</nc> of <nc>said phoneme groups</nc>.
| 2
|
2. <nc>A method</nc> according to <nc>claim</nc> 1, wherein said classifying and subclassifying of <nc>the speeches</nc> of said <nc>plural speakers</nc> are carried out through <nc>hierarchical clustering</nc> in <nc>which</nc>, in <nc>each</nc> of <nc>said speech groups</nc> and <nc>speech subgroups</nc>, <nc>the speeches</nc> of said <nc>plural speakers</nc> are hierarchically grouped into <nc>a predetermined number</nc> of <nc>sets</nc> in <nc>terms</nc> of <nc>the degree</nc> of <nc>similarity</nc> in <nc>their speech patterns</nc>.
|
9454957
|
13786237
|
1. <nc>A system</nc> comprising: <nc>a computer-readable memory</nc> storing <nc>executable instructions</nc>; and <nc>one or more processors</nc> in <nc>communication</nc> with <nc>the computer-readable memory</nc>, wherein <nc>the one or more processors</nc> are programmed by <nc>the executable instructions</nc> to at least: receive <nc>data</nc> regarding <nc>an utterance</nc> of <nc>a user</nc>, <nc>the utterance</nc> associated with <nc>a user request</nc>; generating <nc>first speech recognition results</nc> from <nc>the utterance</nc> and <nc>a language processing model</nc>; determine, based at least partly on <nc>the first speech recognition results</nc>, <nc>a first named entity</nc> and a second named <nc>entity</nc>; search <nc>a data store</nc> using <nc>the first named entity</nc> to determine a first resolved named <nc>entity</nc> associated with <nc>a first confidence score</nc>, wherein <nc>the first confidence score</nc> indicates <nc>a likelihood</nc> that <nc>the first resolved named entity</nc> corresponds to the first named <nc>entity</nc>; search <nc>the data store</nc> using <nc>the second named entity</nc> to determine a second resolved named <nc>entity</nc> associated with <nc>a second confidence score</nc>, wherein <nc>the second confidence score</nc> indicates <nc>a likelihood</nc> that the second resolved named <nc>entity</nc> corresponds to <nc>the second named entity</nc>, and wherein <nc>the data store</nc> comprises <nc>information</nc> indicating that the first resolved named <nc>entity</nc> is associated with the second resolved named <nc>entity</nc>; determine that <nc>the first confidence score</nc> associated with the first resolved named <nc>entity</nc> meets or exceeds <nc>a threshold confidence score</nc>; determine <nc>a combined score</nc> based on <nc>the confidence score</nc> associated with <nc>the first resolved named entity</nc> and <nc>the confidence score</nc> associated with the second resolved named <nc>entity</nc>; determine that <nc>the combined score</nc> does not meet or exceed <nc>the threshold confidence score</nc>; obtain <nc>second speech recognition results</nc> from <nc>the first speech recognition results</nc> and the first resolved named <nc>entity</nc>; determine, based at least partly on <nc>the second speech recognition results</nc>, a third resolved named <nc>entity</nc> included in <nc>the data store</nc>, wherein the third resolved named <nc>entity</nc> is associated with <nc>a third confidence score</nc> <nc>that</nc> meets or exceeds <nc>the threshold confidence score</nc>; and generate <nc>a response</nc> based at least partly on the third resolved named <nc>entity</nc>.
| 3
|
3. <nc>The system</nc> of <nc>claim</nc> 1 , wherein <nc>the one or more processors</nc> are programmed by <nc>the executable instructions</nc> to determine the first resolved named <nc>entity</nc> by searching <nc>the data store</nc> using <nc>a phonetic representation</nc> of the first named <nc>entity</nc>.
|
8151186
|
13228352
|
1. <nc>A computer-implemented method</nc> of generating <nc>a signature</nc> for <nc>a page</nc> of <nc>text</nc>, wherein <nc>the signature</nc> serves as <nc>an identifier</nc> of <nc>the text page</nc>, comprising: determining <nc>positions</nc> of <nc>a plurality</nc> of <nc>words</nc> in <nc>the text page</nc>; for <nc>a first word</nc> of <nc>the plurality</nc> of <nc>words</nc> having <nc>a first position</nc> in <nc>the text page</nc>, determining <nc>positions</nc> of <nc>a plurality</nc> of <nc>second words</nc> in <nc>the text page</nc> relative to <nc>the first word position</nc>; generating <nc>a signature value</nc> <nc>that</nc> describes <nc>the second word positions</nc> relative to <nc>the first word position</nc>; generating <nc>additional signature values</nc> for <nc>the text page</nc>, <nc>each signature value</nc> describing <nc>positions</nc> of <nc>other words</nc> in <nc>the text page</nc> relative to <nc>a word</nc> in <nc>the text page</nc> for <nc>which</nc> <nc>the signature value</nc> is being generated; comparing <nc>a first set</nc> of <nc>signature values</nc> for <nc>the text page</nc> to <nc>a second set</nc> of <nc>signature values</nc> for <nc>a second text page</nc>, wherein <nc>the first set</nc> of <nc>signature values</nc> comprises <nc>the signature value</nc> <nc>that</nc> describes <nc>the second word positions</nc> relative to <nc>the first word position</nc> and <nc>the additional signature values</nc>; generating <nc>a measure</nc> of <nc>similarity</nc> <nc>that</nc> describes <nc>a result</nc> of <nc>the comparison</nc>; and storing <nc>the similarity measure</nc> on <nc>a non-transitory computer-readable storage medium</nc>.
| 10
|
10. <nc>The computer-implemented method</nc> of <nc>claim</nc> 1 , wherein comparing <nc>the first set</nc> of <nc>signature values</nc> to <nc>the second set</nc> of <nc>signature values</nc> comprises determining <nc>an intersection</nc> of <nc>the first set</nc> of <nc>signature values</nc> and <nc>the second set</nc> of <nc>signature values</nc>.
|
9569553
|
15059252
|
1. <nc>A computer-implemented method</nc> comprising: receiving <nc>a plurality</nc> of <nc>a particular user's interactions</nc> with <nc>a plurality</nc> of <nc>items</nc> in <nc>a social networking system</nc>, <nc>each item</nc> associated with <nc>a category</nc>; ranking <nc>the items</nc> based on <nc>the particular user's interactions</nc> with <nc>the items</nc>, the ranking based at least in <nc>part</nc> on <nc>an interaction type</nc> for <nc>each interaction</nc> with <nc>an item</nc>; for <nc>the particular user</nc>, ranking <nc>the categories</nc> based on <nc>the item rankings</nc> of <nc>the items</nc> within <nc>each category</nc>; for <nc>the particular user</nc>, generating by <nc>the social networking system</nc> <nc>a bookmark link</nc> for <nc>each item</nc>, <nc>each bookmark link</nc> providing <nc>a link</nc> to <nc>the corresponding item</nc> in <nc>the social networking system</nc>; and sending <nc>the bookmark links</nc> grouped by <nc>category</nc> to <nc>the particular user</nc> for <nc>display</nc>, the bookmark links ordered within <nc>each category</nc> based on <nc>the item rankings</nc> of <nc>the corresponding items</nc> within <nc>the category</nc>, and <nc>the categories</nc> ordered based on <nc>the ranking</nc> of <nc>the categories</nc>.
| 3
|
3. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the ranking</nc> of <nc>the items</nc> is based on <nc>the number</nc> of <nc>times</nc> over <nc>a period</nc> of <nc>time</nc> <nc>the user</nc> interacted with <nc>the items</nc>.
|
9805126
|
14526694
|
1. <nc>A method</nc> comprising, by <nc>one or more computer systems</nc> of <nc>a social-networking system</nc>: receiving, from <nc>a client device</nc> of <nc>a first user</nc> of <nc>the social-networking system</nc>, <nc>a search query</nc> comprising <nc>one or more characters</nc> inputted by <nc>the first user</nc>, <nc>the one or more characters</nc> being received as <nc>the first user</nc> inputs <nc>the one or more characters</nc> at <nc>the client device</nc> into <nc>a user interface</nc> of <nc>the social-networking system</nc>; identifying <nc>one or more entities</nc> associated with <nc>the social-networking system</nc> matching <nc>the one or more characters</nc> of <nc>the search query</nc>; ranking <nc>each</nc> of <nc>the identified entities</nc> matching <nc>the search query</nc> based on <nc>a calculated likelihood</nc> that <nc>the user</nc> will interact with <nc>a search result</nc> corresponding to <nc>the identified entity</nc>, wherein <nc>the calculated likelihood</nc> that <nc>the user</nc> will interact with <nc>the search result</nc> corresponding to <nc>the identified entity</nc> is based at least in <nc>part</nc> on <nc>a historical behavior</nc> of <nc>the user</nc> in selecting <nc>one or more prior search results</nc> related to <nc>the identified entity</nc>; boosting <nc>one or more ranks</nc> of one or more of <nc>the identified entities</nc> matching <nc>the search query</nc> based on: <nc>one or more business objectives</nc> of <nc>the social-networking system</nc>, wherein at least one of <nc>the business objectives</nc> comprises encouraging <nc>the first user</nc> to interact with <nc>the identified entity</nc> based on <nc>a level</nc> of <nc>social relevance</nc> of <nc>the identified entity</nc> with <nc>respect</nc> to <nc>the first user</nc>; and a level of <nc>the user's interaction</nc> with <nc>one or more features</nc> of <nc>the social-networking system</nc> associated with <nc>the identified entity</nc>, wherein <nc>the boosting</nc> is designed to increase <nc>the level</nc> of <nc>the user's interaction</nc> with <nc>the one or more features</nc> of <nc>the social-networking system</nc> associated with <nc>the identified entity</nc>; and sending, to <nc>the client device</nc> of <nc>the first user</nc> and in <nc>response</nc> to <nc>the received search query</nc>, <nc>one or more search results</nc> for <nc>presentation</nc> to <nc>the user</nc> as <nc>the user</nc> inputs <nc>the one or more characters</nc> at <nc>the client device</nc> into <nc>the user interface</nc>, each search result corresponding to one of <nc>the identified entities</nc>, <nc>the search results</nc> being presented according to <nc>the ranking</nc> and <nc>boosting</nc> of <nc>the corresponding identified entities</nc>, <nc>the presentation</nc> of <nc>the search results</nc> to <nc>the user</nc> enabling <nc>the user</nc> to select one or more of <nc>the search results</nc> to interact with.
| 14
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14. <nc>The method</nc> of <nc>claim</nc> 1 , wherein ranking <nc>each</nc> of <nc>the identified entities</nc> is further based on <nc>a level</nc> of <nc>social relevance</nc> of <nc>the identified entity</nc> to <nc>the search query</nc>.
|
7546242
|
10567272
|
1. <nc>Method</nc> of <nc>reproduction</nc> within <nc>an audio documents reproduction apparatus</nc> wherein <nc>it</nc> comprises <nc>the following steps</nc>: <nc>partitioning</nc> of <nc>the documents</nc> into <nc>groups</nc> of <nc>documents</nc> possessing <nc>at least one similar audio characteristic</nc>, <nc>determination</nc> of <nc>at least one number</nc> of <nc>the group's representative documents</nc>, <nc>determination</nc> of <nc>a determined number</nc> of <nc>audio documents</nc> representing <nc>each group</nc>, <nc>positioning</nc> of <nc>a plurality</nc> of <nc>audio documents</nc> in <nc>a space</nc>, <nc>the positioning</nc> of <nc>an audio document</nc> being dependent on <nc>at least one characteristic</nc> of <nc>the document</nc>, <nc>the user</nc> occupying <nc>a position</nc> in <nc>the said space</nc>, <nc>reproduction</nc> of <nc>the identifiers</nc> of <nc>the several documents</nc> representing <nc>a group</nc>, <nc>the reproduced identifiers</nc> having <nc>a position</nc> situated at <nc>a distance</nc> less than <nc>a determined distance</nc> with <nc>respect</nc> to <nc>the position</nc> of <nc>the user</nc> in <nc>the space</nc>, <nc>the identifiers</nc> being reproduced <nc>loopwise</nc> when <nc>this group</nc> is selected.
| 12
|
12. <nc>Method</nc> of <nc>reproduction</nc> according to <nc>claim</nc> 1 ; wherein <nc>the method</nc> comprises <nc>an introducing step</nc> of <nc>the number</nc> of <nc>the group's representative documents</nc>.
|
9158839
|
13592811
|
1. <nc>A method</nc> comprising: receiving, by <nc>a processing device</nc>, <nc>a data set</nc>, wherein <nc>the data</nc> set is annotated with <nc>at least a first annotation</nc> and <nc>at least a second annotation</nc>, wherein <nc>at least the first annotation</nc> and <nc>the second annotation</nc> represent <nc>characteristics</nc> within <nc>the data set</nc>; determining, by <nc>the processing device</nc>, a first identifier from <nc>the first annotation</nc> and <nc>a second identifier</nc> from <nc>the second annotation</nc>; associating, by <nc>the processing device</nc>, the first identifier to <nc>the second identifier</nc> to generate <nc>at least one joined identifier</nc>, wherein <nc>the at least one joined identifier</nc> is placed between <nc>the first annotation</nc> and <nc>the second annotation</nc>; computing, by <nc>the processing device</nc>, a feature weight and a transition weight for <nc>the annotated data</nc> set based on <nc>the first annotation</nc>, <nc>the second annotation</nc>, and <nc>the at least one joined identifier</nc> and <nc>a transition</nc> between <nc>each</nc> of <nc>the first annotation</nc>, <nc>the second annotation</nc> and <nc>the at least one joined identifier</nc>; receiving, by <nc>the processing device</nc>, a second data set, wherein <nc>the second data</nc> set is un-annotated; and classifying, by <nc>the processing device</nc>, <nc>the second data</nc> set based on <nc>the computed feature weight</nc> and <nc>the transition weight</nc> from the first data set.
| 9
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9. <nc>The method</nc> of <nc>claim</nc> 1 wherein <nc>the transition weight</nc> characterizes <nc>the transition</nc> <nc>that</nc> occurs between <nc>each</nc> of <nc>the first identifier</nc>, <nc>the second identifier</nc> and <nc>the at least one joined identifier</nc>.
|
8532994
|
12870480
|
1. <nc>A method</nc> comprising: monitoring <nc>network traffic</nc> from <nc>a plurality</nc> of <nc>users</nc> including <nc>a first user</nc> and <nc>a second user</nc>; extracting <nc>words</nc> from <nc>the network traffic</nc>; building <nc>a personal vocabulary</nc> for <nc>at least the second user</nc> from <nc>the words</nc>; identifying <nc>a connection</nc> between <nc>the first user</nc> and <nc>the second user</nc>, wherein <nc>the connection</nc> is created from <nc>a trigger</nc> <nc>that</nc> includes <nc>an email</nc> including <nc>one or more subject matter keywords</nc> and the first and <nc>the second user</nc> as one or more of <nc>a recipient</nc> of <nc>the email</nc>, a sender of <nc>the email</nc>, or a part of <nc>text</nc> in <nc>the email</nc>; receiving <nc>audio</nc> of <nc>the first user</nc> originating from <nc>audio content</nc> <nc>that</nc> does not involve <nc>the second user</nc>; and converting <nc>the audio</nc> of <nc>the first user</nc> into <nc>text</nc> using <nc>a language model</nc> based at least partially on <nc>the personal vocabulary</nc> of <nc>the second user</nc> and <nc>the connection</nc> between <nc>the first user</nc> and <nc>the second user</nc>, where <nc>the audio</nc> of <nc>the first user</nc> includes <nc>at least part</nc> of <nc>the one or more subject matter keywords</nc>.
| 2
|
2. <nc>The method</nc> of <nc>claim</nc> 1 , comprising: building <nc>a personal vocabulary</nc> for <nc>at least the first user</nc> from <nc>the words</nc>, wherein <nc>the language model</nc> is further based at least partially on <nc>the personal vocabulary</nc> of <nc>the first user</nc>.
|
8898190
|
13625850
|
1. <nc>A method</nc> for using <nc>a computer system</nc> to provide <nc>additional material</nc> related to <nc>a concept</nc> within <nc>electronic text</nc>, comprising <nc>the steps</nc> of: a) identifying <nc>material</nc> for <nc>display</nc> in <nc>association</nc> with <nc>a request</nc> for <nc>display</nc> of <nc>non-prespecified related electronic text</nc>; b) providing <nc>an indicator</nc> of <nc>said material</nc> for <nc>display</nc>; c) and in <nc>response</nc> to <nc>execution</nc> of <nc>computer-executable code</nc> included in said <nc>electronic text</nc>, <nc>display</nc> of <nc>said indicator</nc>, and <nc>selection</nc> of <nc>said indicator</nc>, transmitting <nc>said material</nc> for <nc>display</nc> to <nc>the requestor</nc> of <nc>said electronic text</nc>, wherein: <nc>i.</nc> said <nc>code</nc> is formatted and designed to be executed in <nc>real-time</nc> without <nc>user action</nc> when <nc>electronic text</nc> including <nc>said code</nc> is displayed; <nc>ii</nc>. when executed, said <nc>code</nc> causes <nc>a computer</nc> to submit <nc>a search request</nc> for <nc>additional information</nc> related to <nc>a concept</nc> represented within <nc>at least one text section</nc> of <nc>said electronic text</nc>, said <nc>search request</nc> leading to <nc>a search</nc> of <nc>an index</nc>, said <nc>search</nc> of <nc>an index</nc> identifying <nc>additional material</nc> related to <nc>said concept</nc>; wherein: <nc>A.</nc> said <nc>index</nc> contains <nc>a plurality</nc> of <nc>terms</nc> by <nc>which</nc> <nc>it</nc> may be searched; B. <nc>at least one term</nc> in said <nc>index</nc> is associated with <nc>a plurality</nc> of <nc>references</nc>, at least two of said plurality of <nc>references</nc> <nc>each</nc> providing <nc>information</nc> sufficient to specify <nc>different material</nc>; <nc>C.</nc> said <nc>index search</nc> yields <nc>information</nc> sufficient to specify <nc>said indicator</nc> of <nc>additional material</nc>; and <nc>D.</nc> said <nc>indicator</nc> comprises <nc>display material</nc> not derived from <nc>said electronic text</nc>; and <nc>iii</nc>. as <nc>a result</nc> of <nc>execution</nc> of <nc>said computer code</nc>, said <nc>indicator</nc> of <nc>additional material</nc> for <nc>display</nc> is provided for <nc>display</nc> in <nc>the same presentation</nc> as said <nc>electronic text</nc>.
| 14
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14. <nc>The method</nc> of <nc>claim</nc> 1 , <nc>wherein said indicator</nc> of <nc>additional material</nc> comprises <nc>a mechanism</nc> to provide <nc>access</nc> to <nc>a source</nc> of said <nc>additional material</nc>.
|
10135999
|
15296131
|
1. <nc>A method</nc> for <nc>digitization</nc> of <nc>a document</nc>, <nc>the method</nc> comprising: scanning, by <nc>one or more processors</nc>, <nc>the document</nc> to generate <nc>an electronic document</nc>; segmenting, by <nc>the one or more processors</nc>, the electronic document into <nc>one or more portions</nc>; selecting, by <nc>the one or more processors</nc>, a first set of <nc>portions</nc> from <nc>the one or more portions</nc> of <nc>the electronic document</nc> based on <nc>at least a quality score</nc> associated with <nc>each</nc> of <nc>the one or more portions</nc>, wherein <nc>the quality score</nc> is assigned to <nc>each</nc> of <nc>the one or more portions</nc> based on <nc>a presence</nc> of <nc>pre-defined markings</nc> in <nc>the one or more portions</nc> and <nc>a presence</nc> of <nc>content</nc> in <nc>each</nc> of <nc>the one or more portions</nc>, and wherein <nc>the quality score</nc> is indicative of <nc>the quality</nc> of <nc>scanning</nc> of <nc>the one or more portions</nc>; identifying, by <nc>the one or more processors</nc>, one or more characters in <nc>the first set</nc> of <nc>portions</nc> of <nc>the electronic document</nc> based on <nc>a character recognition technique</nc>; classifying, by <nc>the one or more processors</nc>, each portion in <nc>the first set</nc> of <nc>portions</nc> in <nc>one or more groups</nc> based on <nc>at least a status</nc> of <nc>identification</nc> <nc>that</nc> indicates <nc>a quality</nc> of <nc>the one or more characters</nc> identified using <nc>the character recognition technique</nc>; creating, by <nc>the one or more processors</nc>, <nc>one or more tasks</nc> for <nc>each</nc> of <nc>the one or more groups</nc>, <nc>wherein a type</nc> of <nc>the one or more tasks</nc> created for <nc>a group</nc> of <nc>the one or more groups</nc> corresponds to <nc>the quality</nc> of <nc>the one or more characters</nc> and is different from <nc>the type</nc> of <nc>the one or more tasks</nc> created for <nc>other group</nc> of <nc>the one or more groups</nc>, wherein <nc>each type</nc> of <nc>the one or more tasks</nc> is associated with <nc>a cost</nc>, and wherein <nc>the cost</nc> of <nc>one type</nc> of <nc>the one or more tasks</nc> is different from <nc>the cost</nc> of <nc>other type</nc> of <nc>the one or more tasks</nc>; transmitting, by <nc>the one or more processors</nc>, the one or more tasks to <nc>one or more crowdworkers</nc> based at least on <nc>the respective type</nc> of <nc>the one or more tasks</nc>; receiving, by <nc>the one or more processors</nc>, a response for <nc>each</nc> of <nc>the one or more tasks</nc> from <nc>each</nc> of <nc>the one or more crowdworkers</nc>; and generating, by <nc>the one or more processors</nc>, <nc>a digitized electronic document</nc> based on <nc>the response</nc> received for <nc>each</nc> of <nc>the one or more tasks</nc>.
| 5
|
5. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the one or more groups</nc> comprise <nc>a first group</nc>, <nc>a second group</nc>, and <nc>a third group</nc>, wherein <nc>the first group</nc> comprises <nc>a second set</nc> of <nc>portions</nc> from <nc>the first set</nc> of <nc>portions</nc> where <nc>the one or more characters</nc> are completely identified, wherein <nc>the second group</nc> comprises <nc>a third set</nc> of <nc>portions</nc> from <nc>the first set</nc> of <nc>portions</nc> where <nc>the one or more characters</nc> are partially identified, and wherein <nc>the third group</nc> comprises <nc>a fourth set</nc> of <nc>portions</nc> from <nc>the first set</nc> of <nc>portions</nc> where <nc>the identification</nc> of <nc>the one or more characters</nc> has failed.
|
8032519
|
12947649
|
1. <nc>A method</nc> comprising: generating <nc>a number</nc> of <nc>snippets</nc> based in <nc>part</nc> on <nc>at least one query term</nc>; ranking <nc>the number</nc> of <nc>snippets</nc> using <nc>a ranking formula</nc> to rank <nc>each snippet</nc> based in <nc>part</nc> on <nc>a number</nc> of <nc>tunable coefficients</nc>, <nc>number</nc> of <nc>words</nc> in <nc>each snippet</nc>, one or more of <nc>a number</nc> of <nc>punctuation symbols</nc> and <nc>numbers</nc> in <nc>each snippet</nc>, and <nc>a score</nc> of <nc>a proximity feature</nc> associated with <nc>each snippet</nc>, <nc>the proximity</nc> feature being associated with <nc>a snippet span</nc>; and, providing <nc>a result summary</nc> based in <nc>part</nc> on <nc>use</nc> of <nc>the ranking formula</nc>.
| 7
|
7. <nc>The method</nc> of <nc>claim</nc> 1 , further comprising using <nc>at least one pre-ranking filter</nc> selected from <nc>a query filter</nc> and <nc>a punctuation filter</nc>.
|
7963835
|
11686181
|
1. <nc>A method</nc> implemented in <nc>a computing environment</nc> for presenting <nc>educational materials</nc> in <nc>a video game environment</nc>, <nc>the method</nc> comprising: <nc>a computing system</nc> providing <nc>a game interface</nc> for displaying <nc>game characters</nc>, <nc>each character</nc> comprising <nc>corresponding attributes</nc> <nc>that</nc> include <nc>at least an attack attribute</nc> and <nc>a defense attribute</nc>, <nc>the computing system</nc> comprising <nc>memory</nc> operatively coupled to <nc>one or more processors</nc>; assigning <nc>a first character</nc> to <nc>a first human participant</nc>; assigning <nc>a second character</nc> to <nc>a second human participant</nc>; the computing system presenting <nc>a game environment</nc> within <nc>the game interface</nc> <nc>that</nc> involves <nc>the first character</nc> in <nc>a storyline</nc> and <nc>that</nc> includes <nc>game actions</nc> that <nc>the first character</nc> participates in, wherein <nc>the first human participant</nc> is presented with <nc>educational materials</nc> corresponding to <nc>a first subject matter</nc>, and wherein <nc>the game actions</nc> include at least one of modifying <nc>the attributes</nc> <nc>that</nc> correspond to <nc>the first character</nc>, obtaining <nc>possessions</nc> for <nc>the first character</nc> and using <nc>the first character</nc> to interact with <nc>at least the second game character</nc>; <nc>the computing system</nc> presenting <nc>questions</nc> to <nc>the first human participant</nc> when <nc>the first character</nc> participates in <nc>a particular game action</nc> within <nc>the game environment</nc>, wherein <nc>the presented questions</nc> correspond to <nc>educational materials</nc> of <nc>the first subject matter</nc>, and wherein <nc>at least one question</nc> is presented to <nc>the first human participant</nc>, corresponding to <nc>a virtual attack</nc> of <nc>the first character</nc> by <nc>the second character</nc> within <nc>the game environment</nc>; <nc>the computing system</nc> displaying <nc>a first health display element</nc> within <nc>the game environment</nc> <nc>that</nc> reflects <nc>a health status</nc> of <nc>the first character</nc> and <nc>that</nc> reflects <nc>at least a decrease</nc> in <nc>the health status</nc> of <nc>the first character</nc> as <nc>a consequence</nc> to <nc>damage</nc> inflicted by <nc>the virtual attack</nc> if <nc>the first human participant</nc> provides <nc>an incorrect answer</nc> to <nc>the at least one question</nc>; <nc>the computing system</nc> displaying <nc>a questions menu option</nc> within <nc>the game environment</nc> to <nc>the first human participant</nc> with <nc>which</nc> <nc>the first human participant</nc> is enabled to select or create <nc>one or more questions</nc> for <nc>use</nc> in <nc>connection</nc> with <nc>an offensive virtual attack</nc> applied by <nc>the first character</nc> within <nc>the game environment</nc>; <nc>the computing system</nc> displaying <nc>a second health display element</nc> <nc>that</nc> reflects <nc>a health status</nc> of <nc>the second character</nc> and <nc>that</nc> reflects <nc>at least a decrease</nc> in <nc>the health status</nc> of <nc>the second character</nc> in <nc>connection</nc> with <nc>damage</nc> inflicted by <nc>the offensive virtual attack</nc> by <nc>the first character</nc> within <nc>the game environment</nc>; and <nc>the computing system</nc> providing <nc>at least one portal</nc> within <nc>the game interface</nc> <nc>which</nc>, when entered by <nc>the first character</nc>, transports <nc>the first character</nc> to <nc>a new world</nc> where <nc>educational materials</nc> presented to <nc>the first character</nc> correspond to <nc>a second subject matter</nc> <nc>that</nc> is different than <nc>the first subject matter</nc>.
| 4
|
4. <nc>A method</nc> as recited in <nc>claim</nc> 1 , wherein <nc>the method</nc> further includes providing <nc>a safe zone</nc> within <nc>the game environment</nc> where <nc>the first human participant</nc> is presented with <nc>educational materials</nc> absent <nc>any battle sequences</nc>.
|
9110990
|
12418158
|
1. <nc>A method</nc>, comprising: receiving, at <nc>an interactive program guide</nc>, <nc>search criteria</nc> from <nc>a client device</nc>; receiving, at <nc>the interactive program guide</nc> and from <nc>the client device</nc>, a user identifier and a selection from <nc>predetermined genres</nc>, wherein <nc>the predetermined genres</nc> are mapped to <nc>a set</nc> of <nc>television programming</nc>; determining, with <nc>the interactive program guide</nc>, <nc>one or more search results</nc> in <nc>response</nc> to <nc>the search criteria</nc>, the user identifier and the selection from <nc>the predetermined genres</nc>; querying <nc>one or more databases</nc> of <nc>attributes</nc> with <nc>portions</nc> of <nc>the search results</nc>, wherein <nc>the attributes</nc> include <nc>genre terms</nc>; comparing <nc>each</nc> of <nc>the search results</nc> to <nc>the attributes</nc> to determine <nc>matches</nc> between <nc>selection</nc> from <nc>the predetermined genres</nc>, the portions of <nc>the search results</nc> and the genre terms; customizing <nc>search result</nc> <nc>attribute correlations</nc> and <nc>correlation weights</nc> for <nc>each</nc> of <nc>the search results</nc> based on <nc>the user identifier</nc>, matches between 1) <nc>the portions</nc> of <nc>the search results</nc>, 2) <nc>the genre terms</nc> and 3) <nc>the selection</nc> from <nc>predetermined genres</nc>; calculating <nc>result weights</nc> for <nc>each</nc> of <nc>the search results</nc> by summing <nc>the correlation weights</nc> associated with <nc>each search result</nc>; sorting <nc>the search results</nc> so <nc>the search results</nc> are returned in <nc>order</nc> of <nc>relevance</nc> according to <nc>the result weights</nc>; and returning <nc>the search results</nc>.
| 31
|
31. <nc>The method</nc> of <nc>claim</nc> 1 , wherein determining <nc>the search results</nc> comprises: determining <nc>a client device location</nc> and <nc>a time</nc> of <nc>search criteria receipt</nc> derived from <nc>the search criteria</nc>.
|
8438310
|
12243852
|
1. <nc>A system</nc> for providing <nc>web services</nc> for <nc>a business hierarchy</nc>, comprising: <nc>a web server</nc> comprising <nc>a processor</nc> and <nc>computer-readable storage media</nc> communicatively coupled to <nc>a network</nc>; <nc>a website resident</nc> on <nc>the storage media</nc> of <nc>the webserver</nc> and made available on <nc>the network</nc> by <nc>the webserver</nc>, wherein <nc>the website</nc> is configurable to display <nc>content</nc> to <nc>a user</nc> in one of <nc>a plurality</nc> of <nc>operational modes</nc>, <nc>each operational mode</nc> corresponding to <nc>a geographic granularity</nc> of <nc>the business hierarchy</nc>, <nc>the operational modes</nc> including <nc>a local mode</nc> comprising <nc>content</nc> pertaining to <nc>a particular location</nc>, <nc>a regional mode</nc> comprising <nc>content</nc> pertaining to <nc>a plurality</nc> of <nc>locations</nc>, and <nc>a national mode</nc> comprising <nc>information</nc> pertaining to <nc>a plurality</nc> of <nc>regions</nc>; and <nc>a configuration module</nc> communicatively coupled to <nc>the website</nc> to configure <nc>the website</nc> to display <nc>content</nc> to <nc>a user</nc> in <nc>a selected operational mode</nc> responsive to <nc>a request</nc> from <nc>the user</nc> for <nc>content</nc> from <nc>the web server</nc>, wherein <nc>the operational mode</nc> is selected based on <nc>a geographic granularity</nc> associated with <nc>the user</nc>.
| 5
|
5. <nc>The system</nc> of <nc>claim</nc> 1 , wherein <nc>the plurality</nc> of <nc>operational modes</nc> comprises <nc>one or more operational modes</nc> corresponding to <nc>an advertising campaign</nc> of <nc>the business hierarchy</nc>.
|
8565419
|
12954068
|
1. A physical keyboard comprising: <nc>a first user interface</nc> comprising <nc>a first array</nc> of <nc>keys</nc> arranged in <nc>rows</nc> and <nc>columns</nc>; and <nc>a second user interface</nc> comprising <nc>a second array</nc> of <nc>keys</nc> arranged in <nc>rows</nc> and <nc>columns</nc>; <nc>the second array</nc> of <nc>keys</nc> partially overlapping <nc>the first array</nc> of <nc>keys</nc> so that <nc>a subset</nc> of <nc>the first array</nc> of <nc>keys</nc> also comprises <nc>a subset</nc> of <nc>the second array</nc> of <nc>keys</nc>; and wherein <nc>the first array</nc> of <nc>keys</nc> comprises <nc>a text input keypad</nc>, and wherein <nc>the text input keypad</nc> includes <nc>a spacebar</nc> <nc>that</nc> is not <nc>a common key</nc> but is adjacent <nc>a row</nc> of <nc>keys</nc> of <nc>the second array</nc> of <nc>keys</nc> and extends across <nc>multiple columns</nc> of <nc>the second array</nc> of <nc>keys</nc>, and wherein <nc>the spacebar</nc> extends across <nc>all columns</nc> of <nc>a bottom row</nc> of <nc>the second array</nc> of <nc>keys</nc>.
| 5
|
5. <nc>The physical keyboard</nc> of <nc>claim</nc> 1 , wherein <nc>the keys</nc> of <nc>the second array</nc> of <nc>keys</nc> are different from <nc>the keys</nc> of <nc>the first array</nc> <nc>that</nc> are not common in at least one of <nc>surface color and surface texture</nc>.
|
7805710
|
10813867
|
1. <nc>A method</nc> of translating <nc>a subject code</nc> executable by <nc>a subject computing architecture</nc> into <nc>a target code</nc> executable by <nc>a second computing architecture</nc>, wherein <nc>the subject code</nc> includes <nc>at least a first program</nc> and <nc>a second program</nc>, comprising: providing <nc>a first translator instance</nc> <nc>which</nc> translates <nc>the subject code</nc> of <nc>the first program</nc> into <nc>the target code</nc> including translating <nc>a first portion</nc> of <nc>the subject code</nc> into <nc>a portion</nc> of <nc>the target code</nc>; caching said <nc>portion</nc> of <nc>the target code</nc> into <nc>a shared code cache facility</nc>; providing <nc>a second translator instance</nc> <nc>which</nc> is different from <nc>the first translator instance</nc> and <nc>which</nc> translates <nc>the subject code</nc> of <nc>the second program</nc> into <nc>the target code</nc>, wherein <nc>the second translator instance</nc> operates simultaneously with <nc>the first translator instance</nc>; retrieving <nc>the cached portion</nc> of <nc>the target code</nc> from <nc>the shared code cache facility</nc> upon <nc>a compatibility detection</nc> between <nc>said cached portion</nc> of <nc>the target code</nc> and <nc>a second portion</nc> of <nc>the subject code</nc> in <nc>the second program</nc>, including loading <nc>the portion</nc> of <nc>the target code</nc> in <nc>the shared code cache facility</nc> into <nc>a portion</nc> of <nc>memory</nc> <nc>which</nc> is shared amongst <nc>at least the first and second translator instances</nc>; and, copying <nc>at least one part</nc> of <nc>the shared code cache facility</nc> to <nc>a private portion</nc> of <nc>memory</nc> associated with <nc>the second translator instance</nc> upon <nc>modification</nc> of <nc>the at least one part</nc> of <nc>the shared code cache facility</nc> by <nc>the second translator instance</nc>.
| 29
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29. <nc>The method</nc> of <nc>claim</nc> 1 , further comprising: providing <nc>a shared code cache facility</nc> to cache <nc>the portion</nc> of <nc>target code</nc>; and distributing <nc>the shared code cache facility</nc> amongst <nc>two or more caches</nc>.
|
9767148
|
13721691
|
1. <nc>A method</nc>, implemented at least partly by <nc>a device</nc>, <nc>the method</nc> comprising: configuring <nc>the database system</nc> to operate at <nc>a limited capacity</nc> below <nc>its full capacity</nc> for <nc>execution</nc> of <nc>database queries</nc> of <nc>a database</nc>, wherein <nc>the database system</nc> includes <nc>one or more processors</nc> operable to process <nc>data</nc> stored in <nc>the database</nc> in <nc>a database environment</nc> in <nc>order</nc> to process <nc>the database queries</nc>; learning about <nc>optimization</nc> of <nc>execution</nc> of <nc>one or more selected database queries</nc> <nc>that</nc> do not meet <nc>at least one performance criteria</nc> associated with <nc>a target performance</nc> for processing <nc>the selected database</nc> queries with <nc>the limited capacity</nc> in <nc>the database environment</nc>, by using <nc>the excess capacity</nc> of <nc>the database system</nc> configured to operate with <nc>the limited capacity</nc> for <nc>the execution</nc> of <nc>database queries</nc> of <nc>the database</nc>; allowing <nc>at least one portion</nc> of <nc>the excess capacity</nc> available to <nc>the database system</nc> to be used to perform <nc>one or more learning activities</nc> associated with learning about <nc>optimization</nc> of <nc>execution</nc> of <nc>one or more selected database queries</nc> in <nc>the database environment</nc> <nc>that</nc> do not meet <nc>at least one performance criteria</nc>; and not allowing <nc>the at least one portion</nc> of <nc>the excess capacity</nc> available to <nc>the database system</nc> to be used to perform <nc>other activities</nc> not associated with <nc>the learning</nc> about <nc>optimization</nc> of <nc>execution</nc> of <nc>the database</nc> queries in <nc>the database environment</nc>.
| 10
|
10. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the method</nc> further comprises: not allowing <nc>one or more data operations</nc>, not associated with <nc>the learning</nc> of <nc>the database environment</nc>, to use <nc>the excess capacity</nc> of <nc>the database system</nc>.
|
8650189
|
13591096
|
1. <nc>An apparatus</nc> comprising: <nc>one or more computer processing units</nc> configured to execute <nc>instructions</nc> associated with <nc>a plurality</nc> of <nc>modules</nc>, <nc>the modules</nc> comprising: <nc>a visibility module</nc> configured to derive <nc>a hit visibility score</nc> for <nc>one or more hits</nc> from <nc>an information source</nc>, wherein <nc>the one or more hits</nc> result from <nc>one or more searches</nc> directed to <nc>a target entity</nc> and include <nc>information</nc> about <nc>the target entity</nc>, and wherein <nc>the hit visibility score</nc> indicates <nc>a likelihood</nc> that <nc>a corresponding hit</nc> is found by <nc>a searcher</nc> after <nc>the searcher</nc> searches for <nc>the target entity</nc> in <nc>the information source</nc>; <nc>a sentiment module</nc> configured to derive <nc>a hit sentiment score</nc> for at least one of <nc>the one or more hits</nc>, wherein <nc>the hit sentiment score</nc> indicates <nc>a sentiment</nc> about <nc>the target entity</nc> conveyed by the at least one of <nc>the one or more hits</nc>; and <nc>a reputation module</nc> configured to derive <nc>a reputation</nc> for <nc>the target entity</nc> based on <nc>the hit visibility score</nc> and <nc>the hit sentiment score</nc>; and <nc>a data storage</nc> configured to store <nc>the one or more hits</nc>.
| 10
|
10. <nc>The apparatus</nc> of <nc>claim</nc> 1 , wherein <nc>the reputation module</nc> derives <nc>the reputation</nc> for <nc>the target entity</nc> by calculating <nc>a reputation vector</nc>, <nc>wherein a length</nc> of <nc>the reputation vector</nc> is derived from <nc>the hit visibility scores</nc> for <nc>the one or more hits</nc>, and <nc>an angle</nc> of <nc>the reputation vector</nc> is derived from <nc>the hit sentiment scores</nc> for <nc>the one or more hits</nc>.
|
8943129
|
12021141
|
1. <nc>A computerized method</nc> comprising: generating <nc>an identifier</nc> of <nc>a document</nc>, <nc>the identifier</nc> of <nc>the document</nc> being <nc>a hash value</nc> generated as <nc>a function</nc> of <nc>the document</nc>; receiving <nc>a designation</nc> of <nc>a collaboration server</nc>, <nc>the collaboration server</nc> to synchronize <nc>an action</nc> across <nc>multiple instances</nc> of <nc>the document</nc> during <nc>a collaboration session</nc>, <nc>each document instance</nc> stored locally by <nc>a collaboration session participant</nc>; adding <nc>the identifier</nc> of <nc>the document</nc> and <nc>an identifier</nc> of <nc>the designated collaboration server</nc> within <nc>data</nc> of <nc>the document</nc>; storing <nc>the document</nc>, including <nc>the identifier</nc> of <nc>the document</nc> and <nc>the identifier</nc> of <nc>the designated collaboration server</nc> added within <nc>the data</nc> of <nc>the document</nc>, to <nc>a local data storage device</nc> of <nc>a computer</nc> performing <nc>the computerized method</nc>, <nc>the identifier</nc> of <nc>the document</nc> and <nc>the identifier</nc> of <nc>the designated collaboration server</nc> providing <nc>information</nc> to <nc>a collaboration session participant</nc> to connect to <nc>a collaboration session</nc> based on <nc>the document</nc>.
| 2
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2. <nc>The computerized method</nc> of <nc>claim</nc> 1 , wherein <nc>the action</nc> comprises at least one of <nc>a view action</nc> or <nc>a modification action</nc>.
|
8412698
|
11102185
|
1. <nc>A computerized search method</nc>, <nc>the method</nc> comprising: presenting, to <nc>a querier</nc>, <nc>a single interface</nc> <nc>that</nc> includes <nc>two mechanisms</nc> for specifying <nc>search terms</nc> for <nc>the same query</nc> in <nc>two different manners</nc>; wherein <nc>the first mechanism</nc> includes <nc>first controls</nc> for receiving <nc>a query string</nc> from <nc>the querier</nc>; wherein <nc>the second mechanism</nc> includes <nc>second controls</nc> for selecting one of <nc>a plurality</nc> of <nc>selectable items</nc>; wherein <nc>each selectable item</nc> of <nc>the plurality</nc> of <nc>selectable items</nc> corresponds to <nc>a filter record</nc> of <nc>a plurality</nc> of <nc>filter records</nc>; wherein said <nc>first controls</nc> allow <nc>the querier</nc> to enter <nc>one or more search terms</nc> <nc>that</nc> comprise <nc>the query string</nc>; wherein said <nc>second controls</nc> allow <nc>the querier</nc> to specify <nc>which filter record</nc>, of <nc>the plurality</nc> of <nc>filter records</nc>, to use to generate <nc>an amended query string</nc> based on <nc>said query string</nc>; receiving <nc>a request</nc> from <nc>the querier</nc>, <nc>wherein receiving said request</nc> includes receiving <nc>a first set</nc> of <nc>search terms</nc> from <nc>the querier</nc> through said <nc>first controls</nc> and receiving, through said <nc>second controls</nc>, <nc>a selection</nc> of <nc>a selectable item</nc>; based on <nc>the request</nc> indicating <nc>the selection</nc> of <nc>the selectable item</nc>, determining that <nc>a selected filter record</nc> should be used to process <nc>the request</nc>, wherein <nc>the selected filter record</nc> corresponds to <nc>the selectable item</nc> <nc>that</nc> was selected through said <nc>second controls</nc> and includes <nc>a set</nc> of <nc>filter elements</nc> <nc>that</nc> correspond to <nc>a second set</nc> of <nc>search terms</nc>; adding <nc>search terms</nc> <nc>that</nc> correspond to <nc>the filter elements</nc> associated with <nc>the selected filter record</nc> to <nc>the first set</nc> of <nc>search terms</nc> to generate said <nc>amended query string</nc> <nc>that</nc> includes <nc>both the first set</nc> of <nc>search terms</nc> and <nc>the second set</nc> of <nc>search terms</nc>; and performing <nc>a document-corpus search</nc> of <nc>a document-corpus</nc> by treating <nc>the second set</nc> of <nc>search terms</nc> as if <nc>they</nc> were <nc>a part</nc> of <nc>said first set</nc> of <nc>search terms</nc> submitted through <nc>said first controls</nc>, to identify <nc>a set</nc> of <nc>documents</nc> relevant to <nc>the both the first set</nc> of <nc>search terms</nc> and <nc>the second set</nc> of <nc>search terms</nc>; wherein performing <nc>the document-corpus search</nc> involves comparing <nc>both the first set</nc> of <nc>search terms</nc> and <nc>the second set</nc> of <nc>search terms</nc> to <nc>terms</nc> contained in <nc>documents</nc> <nc>that</nc> belong to <nc>the document-corpus</nc>; wherein <nc>the method</nc> is performed by <nc>one or more computing devices</nc>.
| 5
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5. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the text</nc> of <nc>at least one filter element</nc> associated with <nc>the selected filter record</nc> is not presented to <nc>the querier</nc> on <nc>the single interface</nc>.
|
9417758
|
11942876
|
1. <nc>A system</nc> comprising: <nc>a processor</nc>; <nc>a display</nc>; and <nc>a memory</nc> executing <nc>a computer program</nc> for <nc>dynamic playback</nc> of <nc>playable content</nc>, by <nc>a player application</nc> <nc>that</nc> has at least one of <nc>a stop control</nc>, <nc>a play control</nc> and <nc>a pause control</nc>, <nc>the computer program</nc> comprises <nc>instructions</nc> to cause <nc>the processor</nc> to: launch <nc>the player application</nc>; receive by <nc>the player application information content</nc> from <nc>user selected resources</nc>; determine <nc>formats</nc> of <nc>the information content</nc> from <nc>the user selected resources</nc>; determine <nc>which</nc> of <nc>the user selected resources</nc> are not in <nc>a specified mark-up language format</nc>; convert <nc>information content</nc> from <nc>the user selected resources</nc> <nc>that</nc> are not in <nc>the specified mark-up language format</nc> into <nc>the specified mark-up language format</nc>: parse and decode <nc>the converted information content</nc> into <nc>code functions</nc> and <nc>data elements</nc> to provide <nc>a dataset</nc>; load <nc>the dataset</nc> and <nc>the code functions</nc> into <nc>a player window</nc> to convert <nc>the dataset</nc> into <nc>produced visual playable content items</nc>; <nc>store</nc> by <nc>the player application</nc> <nc>the produced visual playable content items</nc> in <nc>a queue</nc> of <nc>visual playable content items</nc>; receive by <nc>the player application</nc> <nc>an assertion</nc> of at least one of <nc>the stop control</nc>, <nc>the play control</nc> and <nc>the pause control</nc> to play <nc>a user selection</nc> of <nc>the queued visual playable content items</nc>; and visually render in <nc>a player window user selected ones</nc> of <nc>the queued visual playable content items</nc> in <nc>a sequence</nc> for <nc>a period</nc> of <nc>time</nc>, with <nc>the sequence</nc> being regularly repeated, and with <nc>the period</nc> of <nc>time</nc> of <nc>the sequence</nc><nc>, the selection</nc> of <nc>the queued visual playable content items</nc>, and <nc>a repetition rate</nc> of <nc>the sequence</nc> being based on <nc>user defined parameters</nc>.
| 3
|
3. <nc>The system</nc> of <nc>claim</nc> 1 wherein <nc>the queued visual playable content items</nc> are played without <nc>a user interaction</nc>.
|
7882119
|
11315458
|
1. <nc>A document alignment method</nc> comprising: inputting <nc>source leaves</nc> of <nc>a source document</nc> in <nc>first tree structured format</nc>, <nc>the first tree structured format</nc> comprising <nc>nodes</nc> <nc>which</nc> are ultimately connected with <nc>the source</nc> leaves by <nc>paths</nc>, <nc>text content</nc> of <nc>the source document</nc> being distributed among <nc>the source leaves</nc>; inputting <nc>target leaves</nc> of <nc>a target document</nc> in <nc>second tree structured format</nc>, <nc>the second tree structured format</nc> comprising <nc>nodes</nc> <nc>which</nc> are ultimately connected with <nc>the target leaves</nc> by <nc>paths</nc>, <nc>text content</nc> of <nc>the target document</nc> being distributed among <nc>the target leaves</nc>; assigning <nc>a cost</nc> to <nc>each</nc> of <nc>a plurality</nc> of <nc>matches</nc> based on <nc>text content</nc> of <nc>the leaves</nc>, <nc>each match</nc> comprising <nc>elements</nc> selected from <nc>the group</nc> consisting of: <nc>a source leaf</nc> and <nc>a target leaf</nc>, <nc>an unmatched source leaf</nc>, and <nc>an unmatched target leaf</nc>; identifying <nc>a set</nc> of <nc>matches</nc> for <nc>which</nc> <nc>a total cost</nc> is minimal, wherein <nc>each</nc> of <nc>the input source</nc> and <nc>target leaves</nc> is in at least one of <nc>the identified matches</nc>; identifying, from <nc>the set</nc> of <nc>identified matches</nc>, <nc>groups</nc> of <nc>matches</nc> wherein <nc>each match</nc> in <nc>the group</nc> has <nc>a leaf</nc> in common; identifying, from <nc>the groups</nc>, <nc>probable matches</nc> in <nc>which</nc> <nc>more than one target leaf</nc> is matched with <nc>at least one source leaf</nc> and <nc>probable matches</nc> where <nc>more than one source leaf</nc> is matched with <nc>a target leaf</nc>; outputting <nc>an alignment</nc> between <nc>leaves</nc> of <nc>the target document</nc> and <nc>leaves</nc> of <nc>the source document</nc> <nc>which</nc> includes <nc>the probable matches</nc>.
| 23
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23. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>each assigned cost</nc> is <nc>a function</nc> of <nc>a similarity measure</nc> for <nc>the elements</nc> in <nc>the pair</nc> and wherein <nc>each cost</nc> is also <nc>a function</nc> of <nc>a length</nc> of a shorter of <nc>the two leaves</nc>.
|
10002132
|
15460360
|
1. <nc>A computer-implemented method</nc>, comprising: displaying <nc>a graphical user interface</nc> for <nc>language translation</nc> on <nc>a user device</nc> <nc>that</nc> includes (<nc>i</nc>) <nc>one or more automated speech recognizers</nc> <nc>that</nc> recognize <nc>speech</nc> in <nc>a source language</nc> only when in <nc>a first mode</nc> and to recognize <nc>speech</nc> in <nc>a target language</nc> only when in <nc>a second mode</nc>, <nc>(ii</nc>) <nc>a microphone</nc> <nc>that</nc> receives <nc>audio</nc>, and (iii) <nc>a speaker</nc> <nc>that</nc> outputs <nc>audio</nc>, <nc>the graphical user interface</nc> comprising <nc>a source language visual indicator</nc> and <nc>a target language visual indicator</nc>; in <nc>the first mode</nc> in <nc>which</nc> <nc>the one or more automated speech recognizers</nc> recognize <nc>speech</nc> in <nc>the source language</nc> only, highlighting <nc>the source language visual indicator</nc> and displaying <nc>an input visual indicator</nc> on <nc>the graphical user interface</nc> to provide <nc>a visual indication</nc> that <nc>the user device</nc> receives <nc>audio input</nc> in <nc>the source language</nc> only; and in <nc>response</nc> to <nc>an endpointer</nc> on <nc>the user device</nc> automatically determining that <nc>the input</nc> in <nc>the source language</nc> only has completed, and without requiring <nc>the user</nc> to manually switch between <nc>the first mode</nc> and <nc>the second mode</nc>, automatically activating <nc>the second mode</nc> in <nc>which</nc> <nc>the one or more automated speech recognizers</nc> recognize <nc>speech</nc> in <nc>the target language</nc> only, removing <nc>highlighting</nc> from <nc>the source language visual indicator</nc>, highlighting <nc>the target language visual indicator</nc>, and replacing <nc>the input visual indicator</nc> with <nc>an output visual indicator</nc> on <nc>the graphical user interface</nc> to provide <nc>a visual indication</nc> that <nc>the user device</nc> provides <nc>audio output</nc> in <nc>the target language</nc>.
| 3
|
3. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the visual indication</nc> that <nc>the user device</nc> receives <nc>audio input</nc> in <nc>the source language</nc> is provided by highlighting <nc>the input visual indicator</nc> on <nc>the graphical user interface</nc> while highlighting <nc>the source language visual indicator</nc>.
|
5583543
|
08143786
|
1. <nc>A pen input processing apparatus</nc> comprising: displaying <nc>means</nc> having <nc>a screen</nc> for displaying <nc>information</nc>: inputting <nc>means</nc> for carrying out inputting by <nc>handwriting</nc> with <nc>respect</nc> to <nc>said screen</nc>: <nc>first memory</nc> means for storing <nc>editing instructions</nc> corresponding to <nc>respective handwritten line drawings</nc>; recognizing <nc>means</nc> for recognizing <nc>an inputted editing instruction</nc> corresponding to <nc>a handwritten line</nc> drawing in <nc>accordance</nc> with <nc>the editing instructions</nc> stored in said first memory means and the handwritten line drawing when <nc>the handwritten line drawing</nc> is inputted by said inputting <nc>means</nc> to overlap <nc>information</nc> displayed on <nc>said screen</nc>; <nc>handwriting input area</nc> displaying <nc>means</nc> for displaying <nc>a handwriting input area</nc> to facilitate <nc>character</nc> inputting with <nc>respect</nc> to <nc>said screen</nc> <nc>when said recognizing means</nc> recognizes <nc>an editing instruction</nc> for instructing <nc>the character</nc> inputting by <nc>handwriting</nc>, said <nc>handwriting input area</nc> comprising <nc>a plurality</nc> of <nc>windows</nc>; said inputting <nc>means</nc> including coordinate <nc>information generating means</nc> for generating <nc>a coordinate information</nc> of <nc>the handwritten line</nc> drawing on <nc>said screen</nc>; said <nc>first memory</nc> means including <nc>a first memory area</nc> for storing <nc>data</nc> of <nc>a basic stroke</nc> of <nc>each character</nc>; said recognizing <nc>means</nc> comparing <nc>the basic stroke data</nc> with <nc>the coordinate information</nc> so as to specify <nc>which handwritten character</nc> is handwritten to said <nc>handwriting input</nc>, <nc>area</nc>; said <nc>handwriting input area</nc> displaying <nc>means</nc> including <nc>frame data generating means</nc> for generating <nc>frame data</nc> <nc>which</nc> is required for displaying <nc>the plurality</nc> of <nc>windows</nc> in said handwriting input area, <nc>one character</nc> being written in each one of <nc>said windows</nc>; said inputting <nc>means</nc> including pen means for motivating said coordinate <nc>information generating means</nc> to generate <nc>the coordinate information</nc> by touching <nc>said screen</nc> therewith; controlling <nc>means</nc>, connected with said inputting <nc>means</nc>, for judging whether or not the inputting by <nc>handwriting</nc> is completed; and wherein said <nc>controlling</nc> means <nc>judges</nc> that <nc>the inputting</nc> of <nc>character</nc> by <nc>handwriting</nc> is completed with <nc>respect</nc> to <nc>a first window</nc> of <nc>the plurality</nc> of <nc>windows</nc> when said <nc>pen</nc> means, carrying out the inputting by <nc>handwriting</nc> with <nc>respect</nc> to <nc>the first window</nc>, touches <nc>a second window</nc>.
| 7
|
7. <nc>The pen input processing apparatus</nc> as set forth in <nc>claim</nc> 1, wherein said inputting <nc>means</nc> includes: <nc>a pen</nc>; <nc>a transparent plate</nc> <nc>which</nc> is overlapped onto <nc>said screen</nc>; and <nc>tablet means</nc> for outputting <nc>a coordinate</nc> of <nc>a point</nc>, on said <nc>transparent plate</nc>, <nc>which</nc> is touched by <nc>said pen</nc>.
|
6070139
|
08699874
|
1. A speech recognition device, comprising: <nc>a data processing terminal</nc>, comprising: <nc>a speech input unit</nc> to receive <nc>sounds</nc> including <nc>speech</nc> and translate <nc>the received speech</nc> into <nc>digital form</nc>; <nc>a speech analyzer</nc> coupled to said <nc>speech input unit</nc> to generate <nc>voice feature parameters</nc> for <nc>the received digitized speech</nc>; and <nc>a speaker accommodation unit</nc> comprising: <nc>a first feature reference memory</nc> for storing <nc>pre-registered non-specific speaker</nc> <nc>feature information</nc>, <nc>a conversion rule</nc> generated in <nc>advance highlighting variations</nc> between <nc>previously stored specific speaker</nc> feature <nc>information</nc> and <nc>the pre-registered non-specific speaker</nc> <nc>feature information</nc>, and a feature converter for generating <nc>converted voice</nc> <nc>feature parameters</nc> received from <nc>said speech analyzer</nc> based on <nc>the conversion rule</nc>, and a speech recognition processor, comprising: <nc>a second feature reference memory</nc> for storing <nc>standard feature information</nc> corresponding to <nc>pre-registered phrases</nc>; <nc>a phrase detector</nc> to determine whether <nc>the converted voice</nc> feature <nc>parameters</nc> substantially match <nc>any pre-registered phrases</nc> in said <nc>second feature reference memory</nc> and generate <nc>phrase detection data</nc> in <nc>response</nc> thereto; and a comprehension controller coupled to said <nc>phrase detector</nc> to receive <nc>the phrase detection data</nc>, to recognize <nc>a meaning</nc> of <nc>the received speech</nc> based on <nc>the received phrase detection data</nc>, and to perform at least one of controlling <nc>an action</nc> and formulating <nc>an appropriate response</nc> responsive to <nc>the recognized meaning</nc>; wherein said <nc>data processing terminal</nc> transmits <nc>the converted voice</nc> feature <nc>parameters</nc> to said <nc>speech recognition processor</nc> <nc>which</nc> is in <nc>radio frequency communication</nc> with <nc>said data processing terminal</nc> to receive <nc>the converted voice</nc> feature <nc>parameters</nc>.
| 3
|
3. <nc>The speech recognition processor</nc> of <nc>claim</nc> 1, wherein said <nc>speaker accommodation unit</nc> further comprises <nc>a conversion rule generator</nc> for generating <nc>the conversion rule</nc> and <nc>a conversion rule memory</nc> coupled to <nc>the conversion rule generator</nc> for storing <nc>the conversion rule</nc>.
|
8489586
|
12912037
|
1. <nc>A system</nc> comprising: <nc>a member network server</nc> implemented by <nc>one or more computer processors</nc>, <nc>the member network server</nc> comprising <nc>a member network database</nc> stored in <nc>machine-readable memory</nc>, <nc>the member network database</nc> storing <nc>profiles</nc> <nc>that</nc> represent <nc>members</nc> in <nc>a member network</nc>, <nc>the profiles</nc> comprising <nc>endorsements</nc> of <nc>electronic documents</nc> including <nc>web pages</nc>, and <nc>a member network engine</nc> programmed to allow <nc>users</nc> to interact with and participate in <nc>the member network</nc>, including by classifying <nc>particular electronic documents</nc> as <nc>user</nc> endorsed <nc>electronic documents</nc> by inputting <nc>a favorable rating</nc> on <nc>a control</nc> <nc>that</nc> is displayed simultaneously with <nc>a corresponding electronic document</nc>; and <nc>a search engine server</nc> implemented by <nc>one or more computer processors</nc>, <nc>the search engine server</nc> comprising <nc>an article index</nc> stored in <nc>machine-readable memory</nc>, <nc>the article index</nc> indexing <nc>electronic documents</nc> stored at <nc>other devices</nc> or <nc>systems</nc> and a search engine programmed to respond to <nc>receipt</nc> of <nc>a query signal</nc> <nc>that</nc> embodies <nc>a local search query</nc> made by <nc>a query-submitting member</nc> of <nc>the member network</nc> by performing <nc>operations</nc>, <nc>the operations</nc> including: performing <nc>a search</nc> of <nc>the article index</nc>, <nc>the search</nc> of <nc>the article index</nc> locating <nc>local information</nc> responsive to <nc>the local search query</nc> in <nc>the electronic documents</nc> indexed by <nc>the article index</nc> and returning <nc>identifiers</nc> of <nc>the electronic documents</nc> in <nc>a first local search result set</nc>, performing <nc>a search</nc> of <nc>the member network database</nc>, <nc>the search</nc> of <nc>the member network database</nc> locating <nc>endorsements</nc> of <nc>electronic documents</nc> in <nc>the member profiles</nc> and returning <nc>the endorsements</nc> in <nc>a second local search result set</nc>, wherein performing <nc>the search</nc> of <nc>the member network database</nc> comprises <nc>the search engine</nc> communicating with <nc>the member network engine</nc> to identify <nc>selected members</nc> in <nc>the member network</nc> and accessing <nc>the member profiles</nc> of <nc>the selected members</nc> to identify <nc>the endorsements</nc> in <nc>the member profiles</nc> of <nc>the selected members</nc>, merging the first local search result set and <nc>the second local search result</nc> set to form <nc>a final local search result set</nc>, <nc>wherein ranking</nc> of <nc>the electronic documents</nc> in <nc>the final local search result</nc> <nc>set</nc> differs from <nc>ranking</nc> of <nc>the electronic documents</nc> in <nc>the first local search result</nc> set and embodies <nc>the electronic document endorsements</nc> in <nc>the member profiles</nc> of <nc>the selected members</nc>, and providing <nc>the final local search result</nc> set for <nc>presentation</nc> to <nc>the query-submitting member</nc> of <nc>the member network</nc>, wherein <nc>the presentation</nc> identifies, with <nc>particular ones</nc> of <nc>the final local search result set</nc>, <nc>the selected members</nc> in <nc>the member network</nc> identified as having provided <nc>endorsements</nc> for <nc>electronic documents</nc> <nc>that</nc> correspond to <nc>the particular ones</nc> of <nc>the final local search result set</nc>.
| 7
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7. <nc>The system</nc> of <nc>claim</nc> 1 , wherein <nc>the member network database</nc> further comprises: <nc>a look-up table</nc> listing <nc>a category</nc> classifying <nc>local search queries</nc>; and <nc>an identifier</nc> for <nc>an endorsed web page</nc> in <nc>the category</nc>.
|
9368111
|
14262192
|
1. <nc>A method</nc> comprising: detecting, at <nc>a computing device</nc> comprising <nc>a processor</nc>, <nc>a frequency</nc> of <nc>occurrence</nc> of <nc>a particular type</nc> of <nc>utterance</nc>; determining, using <nc>interpretation labels</nc> previously assigned to <nc>utterances</nc> of <nc>the particular type</nc> of <nc>utterance</nc>, <nc>an accuracy value</nc> for <nc>the particular type</nc> of <nc>utterance</nc> indicating whether <nc>a speech recognition system</nc> is correctly interpreting <nc>the particular type</nc> of <nc>utterance</nc>, <nc>the accuracy value</nc> including <nc>a false alarm value</nc> for <nc>the particular type</nc> of <nc>utterance</nc>; and determining, at <nc>the computing device</nc>, whether to tune <nc>the speech recognition system</nc> with <nc>respect</nc> to <nc>the particular type</nc> of <nc>utterance</nc> based on <nc>the frequency</nc> and based on <nc>the accuracy value</nc> for <nc>the particular type</nc> of <nc>utterance</nc>.
| 6
|
6. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the speech recognition system</nc> is coupled to <nc>a telephone network</nc>, <nc>a cable network</nc>, <nc>an Internet</nc>, <nc>an intranet</nc>, <nc>an extranet</nc>, or <nc>a combination</nc> thereof.
|
7783972
|
10041525
|
1. <nc>A computer program product</nc>, tangibly stored on <nc>a computer-readable medium</nc>, for editing <nc>a consolidated document</nc> in <nc>one or more editing sessions</nc> of <nc>an edit chain</nc> in <nc>which</nc> <nc>one or more users</nc> edit and save <nc>successive versions</nc> of <nc>the consolidated document</nc>, <nc>the consolidated document</nc> comprising <nc>at least one component file</nc> converted from <nc>a native application format</nc> into and stored in <nc>a non-native application format</nc> different from <nc>the native application format</nc>, <nc>the non-native application format</nc> comprising <nc>a format</nc> accepted by <nc>an output processing system</nc>, <nc>the product</nc> comprising: means for storing <nc>a marker</nc> within <nc>the consolidated document</nc>, <nc>the marker</nc> indicating that <nc>the document</nc> was edited using <nc>an ensured workflow system</nc>; means for storing identifying <nc>information</nc> within <nc>the consolidated document</nc> sufficient to identify <nc>the at least one component file</nc> <nc>that</nc> was converted into <nc>the consolidated document</nc>, <nc>the identifying information</nc> comprising one or more of: <nc>file name</nc>, <nc>file type</nc>, <nc>relative path</nc>, <nc>absolute path</nc>, <nc>creation date</nc>, <nc>modification date</nc>, and <nc>checksum data</nc>; means for storing <nc>preflight information</nc> within <nc>the consolidated document</nc>, <nc>the preflight information</nc> identifying <nc>a preflight profile</nc> and <nc>parameters</nc> thereof to be used for preflighting <nc>the document</nc>; means for preflighting <nc>the edited document</nc> in <nc>accordance</nc> with <nc>the preflight profile</nc>; and means for storing <nc>an edit log</nc> within <nc>the consolidated document</nc>, <nc>the edit log</nc> comprising <nc>edit information</nc> corresponding to <nc>a history</nc> of <nc>edits</nc> made to <nc>the document</nc> in <nc>each editing session</nc> of <nc>the edit chain</nc>, <nc>the edit information</nc> comprising: <nc>a listing</nc> of <nc>one or more edits</nc> made during <nc>the session</nc>, <nc>user information</nc> relating to <nc>the user</nc> <nc>who</nc> conducted <nc>the edit</nc>, <nc>comment data</nc> optionally entered by <nc>the user</nc> relating to <nc>the session</nc>, and <nc>one or more preflight results</nc>, if <nc>preflighting</nc> has been performed.
| 17
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17. <nc>The product</nc> of <nc>claim</nc> 1 further comprising <nc>means</nc> for saving <nc>a snapshot</nc> of <nc>a previous document version</nc> saved after <nc>a selected editing session</nc>.
|
9298441
|
14749556
|
1. <nc>A computer</nc> implemented <nc>method</nc> comprising: extracting <nc>first metadata</nc> from <nc>at least one database</nc>, wherein <nc>the first metadata</nc> describe <nc>a first set</nc> of <nc>constraints</nc> <nc>that</nc> apply to <nc>installation</nc> of <nc>a first software program</nc> on <nc>a data processing system</nc>; extracting <nc>second metadata</nc> from <nc>the at least one database</nc>, wherein <nc>the second metadata</nc> describe <nc>a second set</nc> of <nc>constraints</nc> <nc>that</nc> apply to <nc>installation</nc> of <nc>a second software program</nc> on <nc>the data processing system</nc>; generating <nc>a third set</nc> of <nc>constraints</nc> from <nc>the first metadata</nc> and <nc>the second metadata</nc>, wherein <nc>the third set</nc> of <nc>constraints</nc> comprise <nc>an intersection</nc> of <nc>the first set</nc> of <nc>constraints</nc> and <nc>the second set</nc> of <nc>constraints</nc>; determining whether <nc>installation</nc> of <nc>both the first program</nc> and <nc>the second program</nc> on <nc>the data processing system</nc> violates <nc>any constraint</nc> contained in <nc>the third set</nc> of <nc>constraints</nc>; and generating <nc>a user interface notification</nc> in <nc>response</nc> to determining that <nc>the installation</nc> violates <nc>any constraint</nc> in <nc>the third set</nc> of <nc>constraints</nc>.
| 3
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3. <nc>The method</nc> of <nc>claim</nc> 1 further comprising: storing <nc>the third set</nc> of <nc>constraints</nc> in <nc>a tooling mechanism</nc> configured to perform extracting <nc>the first metadata</nc>, extracting <nc>the second metadata</nc>, generating <nc>the third set</nc> of <nc>constraints</nc>, and determining whether <nc>installation</nc> violates <nc>any constraint</nc>.
|
8840695
|
13731810
|
1. <nc>A method</nc> of forming <nc>a shaped abrasive particle</nc> comprising: forming <nc>a mixture</nc> comprising <nc>a ceramic material</nc> into <nc>a sheet</nc>; sectioning <nc>at least a portion</nc> of <nc>the sheet</nc> using <nc>a mechanical object</nc> and forming <nc>at least one shaped abrasive particle</nc> from <nc>the sheet</nc>, wherein <nc>the at least one shaped abrasive particle</nc> comprises <nc>a two-dimensional shape</nc> as viewed in <nc>a plane</nc> defined by <nc>a length</nc> and <nc>a width</nc> of <nc>the shaped abrasive particle</nc> selected from <nc>the group</nc> consisting of <nc>polygons</nc>, <nc>ellipsoids</nc>, <nc>numerals</nc>, <nc>Greek alphabet characters</nc>, <nc>Latin alphabet characters</nc>, <nc>Russian alphabet characters</nc>, <nc>complex shapes</nc> having <nc>a combination</nc> of <nc>polygonal shapes</nc>, and <nc>a combination</nc> thereof, and wherein <nc>the at least one shaped abrasive particle</nc> comprises <nc>a body</nc>, wherein <nc>the body</nc> is essentially free of <nc>a binder</nc>.
| 8
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8. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the sheet</nc> comprises <nc>a height</nc> controlled in <nc>part</nc> by <nc>a distance</nc> between <nc>a portion</nc> of <nc>a die</nc> and <nc>a surface</nc> of <nc>a belt</nc>, and wherein forming <nc>the mixture</nc> comprises controlling <nc>a dimension</nc> of <nc>the sheet</nc> based upon <nc>a viscosity</nc> of <nc>the mixture</nc>.
|
10073891
|
15142069
|
1. <nc>A computer system</nc> comprising <nc>a plurality</nc> of <nc>configurations</nc> of <nc>a computer</nc> to operate in <nc>association</nc> with each other to assist <nc>a user</nc> in reviewing <nc>relevance</nc> of <nc>a large amount</nc> of <nc>documents</nc>, <nc>the plurality</nc> of <nc>configurations</nc> of <nc>the computer</nc> comprising: <nc>a processor</nc>; <nc>a memory</nc> in <nc>communication</nc> with <nc>the processor</nc>; <nc>a data storage device</nc> storing <nc>a document data</nc> comprising <nc>a plurality</nc> of <nc>documents</nc>; and <nc>a display</nc> in <nc>communication</nc> with <nc>the processor</nc>; wherein <nc>the memory</nc> has stored thereon <nc>instructions</nc> <nc>that</nc>, when executed by <nc>the processor</nc>, causes <nc>the processor</nc> to: a. extract <nc>a document group</nc> from <nc>the document data</nc>, <nc>the document group</nc> including <nc>one or more documents</nc> to be reviewed by <nc>the user</nc>, <nc>b.</nc> display <nc>the documents</nc> on <nc>the display</nc>; <nc>c.</nc> for <nc>each</nc> of <nc>the displayed documents</nc>, accept <nc>result information</nc> designated by <nc>the user</nc>, wherein <nc>the result information</nc> includes <nc>a plurality</nc> of <nc>classification codes</nc> according to <nc>a degree</nc> of <nc>relevance</nc> of <nc>the document</nc>, wherein <nc>the user</nc> assigns one or more of <nc>the classification codes</nc> to <nc>the document</nc> in <nc>accordance</nc> with <nc>a result</nc> of <nc>the review</nc> of <nc>the document</nc>; <nc>d.</nc> extract <nc>one or more elements</nc> appearing in <nc>each</nc> of <nc>the displayed documents</nc>, wherein <nc>the elements</nc> are <nc>morphemes</nc> constituting <nc>the displayed documents</nc>, <nc>e.</nc> calculate <nc>an evaluation value</nc> of <nc>each</nc> of <nc>the extracted elements</nc>, wherein <nc>the evaluation value</nc> is <nc>a characteristic value</nc> indicating <nc>a dependency</nc> between <nc>the element</nc> and <nc>the result information</nc> corresponding to <nc>the displayed documents</nc>; <nc>f.</nc> select <nc>a specified number</nc> of <nc>elements</nc> other than <nc>the elements</nc> previously selected, from among <nc>the one or more extracted elements</nc>, in descending <nc>order</nc> of <nc>evaluation values</nc> of <nc>the elements</nc>; <nc>g.</nc> calculate <nc>a score</nc> of <nc>each</nc> of <nc>the documents</nc> in <nc>the document data</nc> based on <nc>the selected elements</nc> and <nc>the evaluation values</nc> of <nc>the selected elements</nc>, and <nc>h.</nc> calculate <nc>a recall ratio</nc> based on <nc>the score</nc>, <nc>the recall ratio</nc> defining <nc>reproducibility</nc> of <nc>the result</nc> of <nc>the review</nc> performed by <nc>the user</nc> and <nc>a percentage</nc> of of <nc>documents</nc> having <nc>the calculated score</nc> greater than <nc>a predefined threshold value</nc> and belonging to <nc>the document group</nc>, as <nc>a result</nc> of arranging <nc>the documents</nc> in descending <nc>order</nc> of <nc>the scores</nc>; wherein <nc>the processor</nc> repeats <nc>the processes</nc> <nc>e</nc><nc>-</nc><nc>h</nc> until <nc>the recall ratio</nc> exceeds <nc>a unique target value</nc>.
| 5
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5. <nc>The computer system</nc> according to <nc>claim</nc> 1 , Wherein <nc>the processor</nc> calculates <nc>the sum</nc> of <nc>the evaluation values</nc> of <nc>the elements</nc> as <nc>the score</nc> of <nc>the document</nc>.
|
8578328
|
12634304
|
1. <nc>A method</nc> for presenting <nc>a candidate</nc> to be linked with <nc>a component</nc> when <nc>the component</nc> is to be linked to <nc>another component</nc> in <nc>a web application</nc>, <nc>the method</nc> comprising <nc>the steps</nc> of: displaying in <nc>a display device</nc> of <nc>a computer system</nc>, <nc>at least two components</nc> each usable in <nc>a web application</nc>, <nc>the components</nc> <nc>each</nc> having <nc>a property</nc> assigned with <nc>a tag</nc>; allowing <nc>a user</nc> through <nc>the computer system</nc> to select <nc>at least one tag</nc> from amongst <nc>first tags</nc> of <nc>properties</nc> of <nc>a first component</nc> of <nc>the at least two components</nc>; identifying <nc>a second component</nc> of <nc>the at least two components</nc> having <nc>a same tag</nc> as <nc>the selected tag</nc>; and presenting <nc>the identified second component</nc> in <nc>the display device</nc> as <nc>a suggestion</nc> for linking <nc>the second component</nc> to <nc>the first component</nc>.
| 16
|
16. <nc>The method</nc> according to <nc>claim</nc> 1 , further comprising <nc>a step</nc> of <nc>changing input information</nc> of <nc>the second component</nc> linked to <nc>an output</nc> of <nc>the first component</nc>, in <nc>accordance</nc> with <nc>an operation</nc> made on <nc>the first component</nc>.
|
7801909
|
10665237
|
1. <nc>An apparatus</nc> for identifying <nc>potential patent infringement</nc>, comprising: means for inputting <nc>information</nc> regarding <nc>a patent</nc>; <nc>a processing device</nc> configured to: identify <nc>at least one claim</nc> of <nc>the patent</nc>, parse <nc>the at least one claim</nc> to identify <nc>at least one term</nc> in <nc>the at least one claim</nc>, formulate <nc>a search query</nc> comprising <nc>the at least one term</nc>, automatically generate and transmit <nc>a natural language question</nc> to <nc>a chat room</nc>, obtain <nc>information</nc> regarding at least one of <nc>a product</nc>, <nc>products</nc>, <nc>a service</nc>, and <nc>services</nc> from <nc>the chat room</nc> in <nc>response</nc> to <nc>the question</nc>, and perform <nc>a search</nc> of <nc>the information</nc> regarding at least one of <nc>a product</nc>, <nc>products</nc>, <nc>a service</nc>, and <nc>services</nc> using <nc>the search query</nc>; and means for outputting <nc>result</nc> of <nc>the search</nc>.
| 13
|
13. <nc>The apparatus</nc> of <nc>claim</nc> 1 , wherein <nc>the processing device</nc> is configured to automatically perform <nc>the search</nc> by utilizing <nc>a meta search engine</nc>.
|
4771401
|
06846366
|
1. <nc>A digital data processing apparatus</nc> for storing <nc>digitally encoded linguistic information</nc>, said <nc>apparatus</nc> comprising <nc>A. input</nc> means for accepting <nc>a signal representative</nc> of <nc>linguistic expression</nc>, <nc>B. database storage</nc> means for storing <nc>a linguistic expression database</nc>, said <nc>database storage</nc> means including <nc>master lexicon storage</nc> means for storing <nc>digitally encoded information representative</nc> of <nc>plural linguistic expressions</nc> and including <nc>plural addressable lexicon storage blocks</nc>, <nc>each</nc> said <nc>block</nc> storing <nc>one or more lexicon entries</nc>, <nc>each</nc> said <nc>lexicon entry</nc> storing <nc>signals representative</nc> of <nc>a linguistic expression</nc>, <nc>each</nc> said <nc>expression</nc> including <nc>at least one alphanumeric character</nc>, <nc>C. database access</nc> means connected with <nc>said input means</nc> and with said <nc>database storage</nc> means for accessing <nc>information</nc> stored in <nc>said linguistic expression database</nc>, said <nc>database access</nc> means including master lexicon access means for addressably accessing <nc>each</nc> said lexicon storage block according to <nc>its skeletal collation range</nc>, said <nc>skeletal collation range</nc> being defined by <nc>upper and lower bounds</nc> of <nc>a collation sequence</nc> of <nc>linguistically salient word skeletons</nc> of said <nc>one or more linguistic expressions</nc> represented within <nc>a lexicon storage block</nc>, and <nc>D. output</nc> means connected with said <nc>database access</nc> means for generating <nc>a signal representative</nc> of <nc>linguistic information</nc>.
| 2
|
2. <nc>A digital data processing apparatus</nc> according <nc>to claim</nc> 1 wherein <nc>a first said lexicon entry</nc>, <nc>which</nc> represents <nc>a first linguistic expression</nc>, comprises <nc>differential encoding</nc> means for representing <nc>a difference</nc> in <nc>character content</nc> between said <nc>first expression</nc> and <nc>a second linguistic expression</nc> represented within <nc>a second said lexicon entry</nc>.
|
9146998
|
14644117
|
1. <nc>A method</nc> comprising: receiving <nc>first activity information</nc> for <nc>a sender</nc> of <nc>a message</nc> sent to <nc>at least one recipient</nc> by <nc>a collection resource</nc> at <nc>a Web site</nc>, wherein <nc>the message</nc> comprises <nc>text</nc> associated with <nc>the Web site</nc>, <nc>the collection resource</nc> adds <nc>a first link</nc> to <nc>the message</nc>, and <nc>no personally identifiable information</nc> of <nc>the sender</nc> is collected in collecting <nc>the first activity information</nc>; storing <nc>the first activity information</nc> at <nc>a storage server</nc>; receiving <nc>second activity information</nc> when <nc>a first recipient</nc> accesses <nc>the first link</nc> sent by <nc>the sender</nc> corresponding to <nc>the first activity information</nc> stored at <nc>the storage server</nc>, wherein <nc>no personally identifiable information</nc> of <nc>the first recipient</nc> is collected in <nc>the second activity information</nc>; using <nc>at least one processor</nc>, using <nc>the first activity information</nc> to identify <nc>a first node</nc> in <nc>a social graph</nc> as being representative of <nc>the sender</nc>; using <nc>the second activity information</nc> to identify <nc>a second node</nc> in <nc>the social graph</nc> as being representative of <nc>the first recipient</nc>; determining <nc>a category</nc> for <nc>the first link</nc> as <nc>a first category type</nc>; and in <nc>the social graph</nc>, creating <nc>a first edge</nc> between <nc>the first and second nodes</nc>, wherein <nc>the first edge</nc> is representative of <nc>the first category type</nc>.
| 6
|
6. <nc>The method</nc> of <nc>claim</nc> 1 wherein <nc>the message</nc> comprises <nc>a video</nc>.
|
9483532
|
14720789
|
1. <nc>A computer system</nc>, comprising: <nc>a processor</nc> operable to receive <nc>a text content</nc> comprising <nc>a plurality</nc> of <nc>terms</nc>, <nc>each term</nc> comprising <nc>one or more words</nc> or <nc>phrases</nc>; tokenize <nc>the text content</nc> into <nc>a plurality</nc> of <nc>terms</nc>, each term comprising <nc>one or more words</nc> or <nc>phrases</nc>; identifying <nc>a first semantic attribute</nc> or <nc>a first part</nc> of <nc>speech</nc>, wherein <nc>the first semantic attribute</nc> is selected from <nc>the group</nc> of <nc>semantic attributes</nc> consisting of <nc>at least an action</nc>, a thing, <nc>a person</nc>, <nc>an agent</nc> of <nc>an action</nc>, <nc>a recipient</nc> of <nc>an action</nc> or <nc>a thing</nc>, <nc>a state</nc> of <nc>an object</nc>, <nc>a mental state</nc> of <nc>a person</nc>, <nc>a physical state</nc> of <nc>a person</nc>, <nc>a positive or negative opinion</nc>, <nc>a name</nc> of <nc>a product</nc>, <nc>a name</nc> of <nc>a service</nc>, <nc>a name</nc> of <nc>an organization</nc>, wherein <nc>the first part</nc> of <nc>speech</nc> is selected from <nc>the group</nc> of <nc>parts</nc> of <nc>speech</nc> consisting of <nc>at least a noun</nc> or <nc>a pronoun</nc>, <nc>a transitive or intransitive verb</nc> or <nc>modal verb</nc> or link <nc>verb</nc>, <nc>an adjective</nc>, <nc>an adverb</nc>, <nc>a preposition</nc>, <nc>an article</nc>, <nc>a conjunction</nc>; identify <nc>a first term</nc> in <nc>the text content</nc>, wherein <nc>the first term</nc> is associated with <nc>the first semantic attribute</nc> or <nc>the first part</nc> of <nc>speech</nc>; identify <nc>a second term</nc> in <nc>the text content</nc>, wherein <nc>the second term</nc> is not associated with <nc>the first semantic attribute</nc> or <nc>the first part</nc> of <nc>speech</nc>; associate <nc>an importance measure</nc> to <nc>the first term</nc>, based at least on <nc>the first semantic attribute</nc> or <nc>the first part</nc> of <nc>speech</nc>, to mark <nc>the first term</nc> as bearing <nc>more importance</nc> than <nc>the second term</nc> in representing <nc>a topic</nc> or an information focus in <nc>the text content</nc>; extract <nc>the first term</nc> based on <nc>the importance measure</nc>; and output <nc>the first term</nc>; when <nc>the first term</nc> is <nc>output</nc>, <nc>the function</nc> of <nc>the first term</nc> includes being <nc>a tag</nc> or <nc>a label</nc> to represent <nc>a topic</nc> or <nc>a summary</nc> of <nc>the text content</nc>, or <nc>a category node</nc>; when <nc>the first term</nc> is <nc>output</nc> and displayed, <nc>the display format</nc> includes <nc>the font type</nc>, <nc>size</nc>, <nc>color</nc>, <nc>shape</nc>, <nc>position</nc>, or <nc>orientation</nc> of <nc>the first term</nc> based on <nc>the importance measure</nc>; when <nc>the text content</nc> containing <nc>the first term</nc> is made searchable using <nc>a query</nc> or is associated with <nc>a search index</nc> to produce <nc>a search result</nc>, <nc>the search result</nc> is ranked based at least on <nc>the importance measure</nc>.
| 9
|
9. <nc>The system</nc> of <nc>claim</nc> 1 , wherein <nc>the text content</nc> is <nc>a sub-segment text unit</nc> in <nc>a collection</nc> of <nc>sub-segment text units</nc>, wherein <nc>the sub-segment text unit</nc> includes <nc>a sentence</nc> or <nc>a paragraph</nc> when <nc>the collection</nc> is <nc>a document</nc> comprising <nc>a plurality</nc> of <nc>sentences</nc> or <nc>paragraphs</nc>, or <nc>the sub-segment text unit</nc> includes <nc>an individual document</nc> when <nc>the collection</nc> is <nc>a document collection</nc> containing <nc>a plurality</nc> of <nc>documents</nc>.
|
7836076
|
10922694
|
1. <nc>A method</nc> for distributing <nc>content indices</nc> for <nc>content corpora</nc>, <nc>the method</nc> comprising: analyzing <nc>search queries</nc> and partitioning <nc>individual terms</nc> in <nc>the search queries</nc> into <nc>sets</nc> based on <nc>co</nc><nc>-</nc><nc>occurrence</nc> of <nc>the individual terms</nc> within <nc>the search queries</nc>, wherein <nc>co</nc><nc>-</nc><nc>occurrence</nc> of <nc>given ones</nc> of <nc>the individual terms</nc> in a particular one of <nc>the search queries</nc> comprises <nc>the given individual terms</nc> co-occurring in <nc>a particular search query</nc>; mapping <nc>different ones</nc> of <nc>said sets</nc> to <nc>different server nodes</nc>; at said <nc>different server nodes</nc>, storing linking <nc>indices</nc> for <nc>the individual terms</nc> within <nc>the sets</nc> <nc>that</nc> have been mapped to said <nc>different server nodes</nc>; representing <nc>the individual terms</nc> of <nc>the search queries</nc> as <nc>nodes</nc> within <nc>a construct</nc>, with <nc>edges</nc> connecting <nc>the nodes</nc>, wherein <nc>each edge</nc> of <nc>the edges</nc> is assigned <nc>a frequency weight</nc> for representing <nc>co</nc><nc>-</nc><nc>occurrence</nc> in <nc>a corresponding search query</nc> of <nc>the individual terms</nc> represented by <nc>the nodes</nc> connected by <nc>a corresponding edge</nc>; maintaining <nc>a map</nc> indicating <nc>which</nc> of <nc>the server nodes</nc> store <nc>corresponding ones</nc> of <nc>the linking indices</nc> for <nc>the individual terms</nc>; and distributing <nc>the individual terms</nc> in <nc>a new query</nc> to <nc>the server nodes</nc> based on <nc>the map</nc>.
| 3
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3. <nc>The method</nc> as set forth in <nc>claim</nc> 1 , said <nc>mapping</nc> further comprising: distributing <nc>each</nc> of <nc>said sets</nc> to a unique one of <nc>said server nodes</nc>.
|
8224672
|
09775019
|
1. <nc>A computer</nc> implemented <nc>method</nc> of preparing <nc>an executable representation</nc> of <nc>a rating model</nc>, <nc>the method</nc> comprising: defining <nc>an actuary-manipulable representation</nc> of <nc>a rating model</nc>, <nc>the actuary-manipulable representation</nc> embodied in <nc>computer readable media</nc> and <nc>encoding</nc> therein <nc>variables</nc>, <nc>factor tables</nc> and <nc>calculation sequences</nc> of <nc>the rating model</nc>, <nc>the factor tables</nc> having <nc>one or more axes</nc> bound to <nc>respective ones</nc> of <nc>the variables</nc> and <nc>the calculation sequences</nc> defined in <nc>terms</nc> of <nc>steps</nc> operative on <nc>values</nc> of <nc>the variables</nc> and <nc>cells</nc> of <nc>the factor tables</nc>; and transforming <nc>the actuary-manipulable representation</nc> to <nc>the executable representation</nc>, <nc>the executable representation</nc> embodied in <nc>computer readable media and encoding therein resultant computer program code</nc> including <nc>a runtime lookup facility</nc> for <nc>identification</nc> of <nc>runtime identifiers</nc> in <nc>the executable representation</nc> corresponding to <nc>ones</nc> of <nc>the variables</nc> and <nc>a calculate method</nc> executable to generate <nc>a quote</nc> based on <nc>inputs</nc> supplied via <nc>a predefined input interface</nc>, wherein <nc>the transforming</nc> is performed at least in <nc>part</nc> by <nc>a compiler</nc> <nc>that</nc> executes on <nc>a computational machine</nc>.
| 15
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15. <nc>The computer</nc> implemented <nc>method</nc> of <nc>claim</nc> 1 , wherein <nc>the computational machine</nc> on <nc>which</nc> <nc>the transforming</nc> is performed includes: a processor <nc>that</nc> hosts <nc>an executable instance</nc> of <nc>program code</nc> executable <nc>thereon</nc> as <nc>the compiler</nc>; and storage accessible to <nc>the processor</nc> constituting <nc>the computer readable media</nc> in <nc>which</nc> <nc>the actuary-manipulable representation</nc> of <nc>the rating model</nc> and <nc>the resultant program code</nc> of <nc>the executable representation</nc> are respectively encoded.
|
9658746
|
13946538
|
1. A device, comprising: <nc>a touch sensitive surface</nc> allowing <nc>user input</nc>; and an accessible user interface facilitating <nc>use</nc> of <nc>the touch sensitive surface</nc> by <nc>a visually impaired user</nc> by configuring <nc>an entire surface</nc> of <nc>the touch sensitive surface</nc> as <nc>a single control feature</nc> for receiving <nc>touch gestures</nc>, <nc>the touch gestures</nc> including at least one of <nc>one or more taps</nc>, <nc>one or more presses</nc>, <nc>one or more press-and-holds, and one or more swipes</nc> in <nc>any direction</nc>, <nc>the accessible user interface</nc> configured to: receive at <nc>the touch sensitive surface</nc> <nc>an automatic reading mode activation gesture</nc>, <nc>the automatic reading mode</nc> configured to: automatically and continuously aurally present <nc>textual content</nc> from <nc>a predetermined point</nc> with <nc>a selected voice font</nc>, <nc>volume</nc>, and <nc>rate</nc>; disregard <nc>all contacts</nc> on <nc>the touch sensitive surface</nc> other than <nc>touch</nc> gestures received anywhere on <nc>the touch sensitive surface</nc> to transition out of <nc>the automatic reading mode</nc>, and touch gestures received anywhere on <nc>the touch sensitive surface</nc> to adjust at least one of <nc>reading rate</nc>, <nc>scroll</nc> by <nc>sentence</nc>, scroll by <nc>page</nc>, and scroll by <nc>chapter</nc>; and create <nc>a virtual bookmark</nc> by <nc>the automatic reading mode</nc> on <nc>a currently displayed page</nc> if <nc>a gesture</nc> is performed to scroll to <nc>another chapter</nc>, and <nc>the currently displayed page</nc> is not at <nc>the beginning</nc> of <nc>a chapter</nc>, wherein <nc>the virtual bookmark</nc> prompts <nc>an additional stop</nc> on <nc>the corresponding bookmarked page</nc> in <nc>response</nc> to <nc>a subsequent chapter scrolling gesture</nc> to proceed over <nc>the bookmarked page</nc>; and receive at <nc>the touch sensitive surface</nc> <nc>a manual reading mode activation gesture</nc>, <nc>the manual reading mode</nc> configured to perform <nc>an action</nc> including at least one of: <nc>aurally present textual content</nc> at <nc>a current read point</nc> or <nc>that</nc> is selected, navigate <nc>menu options</nc>, <nc>share content</nc>, <nc>select content</nc>, add <nc>notes</nc> to <nc>content</nc>, adjust <nc>reading rate</nc>, adjust <nc>voice font</nc>, and adjust <nc>volume</nc> in <nc>response</nc> to <nc>the one or more corresponding touch gestures</nc> received anywhere on <nc>the touch sensitive surface</nc>; and wherein <nc>the accessible user interface</nc> is configured to transition between <nc>the automatic reading mode</nc> and <nc>the manual reading mode</nc> in <nc>response</nc> to <nc>a transition gesture</nc> received anywhere on <nc>the touch sensitive surface</nc>.
| 8
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8. <nc>The device</nc> of <nc>claim</nc> 1 wherein <nc>the touch sensitive surface</nc> is <nc>a touch screen display</nc> and <nc>the manual reading mode</nc> is further configured to aurally present <nc>a word</nc> to <nc>a user</nc> in <nc>response</nc> to <nc>a short press gesture</nc> performed over <nc>the word</nc>.
|
8554789
|
11246001
|
1. <nc>A method</nc>, comprising <nc>a database server</nc> registering <nc>a XML schema</nc>, wherein registering <nc>the XML schema</nc> includes: traversing <nc>a declaration</nc> of <nc>a first element</nc> <nc>that</nc> comprises <nc>a second element</nc>; while traversing said <nc>declaration</nc> of <nc>said first element</nc>: tracking on <nc>a stack</nc> <nc>a declaration</nc> of <nc>an element</nc> or <nc>a type</nc> encountered during said traversing; encountering said <nc>second element</nc>; and determining <nc>that</nc> said <nc>second element</nc> belongs to <nc>a type</nc> within <nc>a hierarchy</nc> of <nc>inheritance</nc> of <nc>a certain type</nc> of <nc>said first element</nc> by <nc>at least determining</nc> <nc>that</nc> said <nc>first element</nc> is on <nc>the stack</nc>; and in <nc>response</nc> to determining <nc>that</nc> said <nc>second element</nc> belongs to <nc>a type</nc> within <nc>a hierarchy</nc> of <nc>inheritance</nc> of <nc>a certain type</nc> of <nc>the first element</nc>, performing: determining <nc>that</nc> said <nc>XML schema</nc> defines <nc>a cyclic construct</nc>; determining <nc>a database representation</nc> capable of storing <nc>instances</nc> of <nc>said XML schema</nc> <nc>that</nc> contain said <nc>cyclic construct</nc>; and generating <nc>a mapping</nc> between <nc>constructs</nc> of <nc>said XML schema</nc> and said <nc>database representation</nc>.
| 8
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8. <nc>The method</nc> of <nc>claim</nc> 1 , wherein determining <nc>that</nc> said <nc>XML schema</nc> defines <nc>a cyclic construct</nc> includes: generating <nc>a dependency graph</nc> based on <nc>a declaration</nc> of <nc>one or more elements</nc> or <nc>types</nc>; and detecting <nc>that</nc> said <nc>dependency graph</nc> includes <nc>a cycle</nc>.
|
9619439
|
14191360
|
1. <nc>A computer-implemented method</nc> for providing <nc>a font</nc>, <nc>the method</nc> comprising: receiving <nc>a request</nc> from <nc>a client device</nc> to download <nc>a font</nc>; accessing <nc>the requested font</nc>, wherein <nc>the accessed font</nc> comprises <nc>a requested character map</nc> and <nc>a requested glyph table</nc>; creating <nc>a supported character list</nc> and <nc>a modified font</nc> based on <nc>the requested character map</nc>, wherein <nc>the modified font</nc> comprises <nc>a modified character map</nc> and <nc>a modified glyph table</nc>, and wherein <nc>the modified character map</nc> comprises <nc>placeholder data</nc> for <nc>at least one character</nc> of <nc>the accessed font</nc>; compressing <nc>the modified font</nc>; sending <nc>the supported character list</nc> and <nc>the compressed modified font</nc> to <nc>the client device</nc>; sending, to <nc>the client device</nc> after sending <nc>the supported character list</nc> and <nc>the compressed modified font</nc> to <nc>the client device</nc>, <nc>character data</nc> comprising character map <nc>data</nc> for <nc>the at least one character</nc> in <nc>the modified font</nc>, and glyph <nc>data</nc> for <nc>the at least one character</nc> in <nc>the modified font</nc>, and <nc>location data</nc> for <nc>the character</nc> map <nc>data</nc> and <nc>the glyph data</nc>; wherein <nc>the character</nc> map <nc>data</nc> is for filling in <nc>the placeholder data</nc> for <nc>the at least one character</nc> in <nc>the modified character map</nc> in <nc>the modified font</nc> based on <nc>the location data</nc>; and wherein <nc>the glyph data</nc> is for merging <nc>the at least one character</nc> into <nc>the modified glyph table</nc> based on <nc>the location data</nc>.
| 6
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6. <nc>The computer-implemented method</nc> of <nc>claim</nc> 1 , further comprising: receiving, after sending <nc>the character data</nc> to <nc>the client device</nc>, <nc>one or more additional requests</nc> for <nc>additional character data</nc> for <nc>one or more additional sets</nc> of <nc>characters</nc> associated with <nc>the font</nc> to be downloaded; and sending <nc>the requested additional character data</nc> to <nc>the client device</nc> based on <nc>the one or more additional requests</nc>.
|
9262522
|
13356387
|
1. <nc>A music messaging software</nc>-as-<nc>a-service</nc> <nc>platform</nc>, comprising: <nc>a computer hardware infrastructure</nc> accessible at <nc>a network domain</nc> and comprising: <nc>first program code</nc> <nc>that</nc> receives, from <nc>a sender</nc>, <nc>a set</nc> of <nc>first information</nc>, <nc>the set</nc> of <nc>first information</nc> including <nc>a message</nc> personalized for <nc>an intended recipient</nc>, together with <nc>non-audio data</nc> identifying <nc>a lyric phrase</nc> from <nc>an audio recording</nc>; <nc>an audio extraction engine</nc> <nc>that</nc> <nc>(i</nc>) receives <nc>the non-audio data</nc> identifying <nc>the lyric phrase</nc> together with <nc>an instance</nc> of <nc>the audio recording</nc>, (<nc>ii</nc>) identifies <nc>a portion</nc> of <nc>the audio recording</nc> where <nc>the lyric phrase</nc> is likely to be found at least in <nc>part</nc> by mapping <nc>each word</nc> in <nc>the lyric phrase</nc> to <nc>one and only vocal interval</nc> determined to exist in <nc>the audio recording</nc>, (<nc>iii</nc>) extracts <nc>the portion</nc> of <nc>the audio recording</nc> into <nc>a short snippet</nc>; and (iv) writes <nc>the short snippet</nc> into <nc>a database</nc>; and <nc>a message generator</nc> <nc>that</nc> combines <nc>a reference</nc> to <nc>the short snippet</nc> with <nc>the message</nc> to generate and output <nc>a music message note</nc> for <nc>the intended recipient</nc>; and <nc>second program code operative</nc> to cause <nc>delivery</nc> of <nc>the short snippet</nc> in <nc>response</nc> to <nc>receipt</nc> of <nc>data</nc> indicating that <nc>the reference</nc> is selected by <nc>the intended recipient</nc>.
| 3
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3. The music messaging <nc>software</nc>-as-<nc>a-service</nc> <nc>platform</nc> as described in <nc>claim</nc> 1 wherein <nc>the message</nc> personalized for <nc>the intended recipient</nc> is <nc>itself</nc> <nc>an audio message</nc>.
|
8365155
|
12785876
|
1. <nc>A system</nc> for facilitating <nc>the analysis</nc> of <nc>executable software code</nc>, <nc>the system</nc> comprising: <nc>a decompiler and analysis subsystem</nc> operating on <nc>a processor</nc>, <nc>the decompiler</nc> and <nc>analysis subsystem</nc> comprising; <nc>a loader</nc> for separating <nc>the executable software code</nc> into <nc>a code section</nc> and <nc>a data section</nc>; <nc>a library module</nc> for generating <nc>one or more signature files</nc>, wherein <nc>the signature files</nc> comprise <nc>a collection</nc> of <nc>software routines</nc>; and <nc>a static library identifier</nc> for comparing <nc>the code and data sections</nc> of <nc>the executable software code</nc> to <nc>the one or more signature files</nc>; and <nc>a graphical user interface</nc> rendered on <nc>a display device</nc>, <nc>the graphical user interface</nc> for (<nc>i</nc>) accepting <nc>user commands</nc> related to <nc>the modeling</nc> and <nc>analysis</nc> of <nc>the executable software code</nc> and <nc>(ii</nc>) displaying <nc>results</nc> of <nc>the comparison</nc> on <nc>the display device</nc>.
| 8
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8. <nc>The system</nc> of <nc>claim</nc> 1 further comprising <nc>a modeler</nc> for providing one or more of <nc>processor architecture information</nc>, <nc>software compiler information</nc>, and <nc>source code parser information</nc> to <nc>the loader</nc>.
|
8892424
|
13371135
|
1. <nc>An audio analysis system</nc> comprising: <nc>a terminal apparatus</nc> <nc>that</nc> is to be worn by <nc>a user</nc>; and <nc>a host system</nc> <nc>that</nc> acquires <nc>information</nc> from <nc>the terminal apparatus</nc>, wherein <nc>the terminal apparatus</nc> includes <nc>a first audio acquisition device</nc> <nc>that</nc> acquires <nc>a sound</nc> and converts <nc>the sound</nc> into <nc>a first audio signal</nc>, <nc>the sound</nc> containing <nc>an utterance</nc> of <nc>the user</nc> and <nc>an utterance</nc> of <nc>another person</nc> <nc>who</nc> is different from <nc>the user</nc>, <nc>a discriminator</nc> <nc>that</nc> discriminates between <nc>a portion</nc> <nc>that</nc> corresponds to <nc>the utterance</nc> of <nc>the user</nc> and <nc>a portion</nc> <nc>that</nc> corresponds to <nc>the utterance</nc> of <nc>the other person</nc> <nc>which</nc> are contained in <nc>the first audio signal</nc>, <nc>an utterance feature detector</nc> <nc>that</nc> detects <nc>an utterance feature</nc> of <nc>the user</nc> or <nc>the other person</nc>, on <nc>the basis</nc> of <nc>the portion</nc> <nc>that</nc> corresponds to <nc>the utterance</nc> of <nc>the user</nc> or <nc>the portion</nc> <nc>that</nc> corresponds to <nc>the utterance</nc> of <nc>the other person</nc>, and <nc>a transmission unit</nc> <nc>that</nc> transmits to <nc>the host system utterance information</nc> <nc>that</nc> contains <nc>at least a discrimination result</nc> obtained by <nc>the discriminator</nc> and <nc>a detection result</nc> obtained by <nc>the utterance feature detector</nc>, and wherein <nc>the host system</nc> includes <nc>a reception unit</nc> <nc>that</nc> receives <nc>the utterance information</nc> <nc>that</nc> has been transmitted from <nc>the transmission unit</nc>, <nc>a conversation information detector</nc> <nc>that</nc> detects <nc>a part</nc> corresponding to <nc>a first conversation</nc> between <nc>the user</nc> and <nc>the other person</nc> from <nc>the utterance information</nc> <nc>that</nc> has been received by <nc>the reception unit</nc>, and detects <nc>portions</nc> of <nc>the part</nc> of <nc>the utterance information</nc> <nc>that</nc> correspond to <nc>the user</nc> and <nc>the other person</nc> <nc>who</nc> are related to <nc>the first conversation</nc>, <nc>a relation information holding unit</nc> <nc>that</nc> holds <nc>relation information</nc> on <nc>a relation</nc> between <nc>a predetermined emotion name</nc> and <nc>a combination</nc> of <nc>a plurality</nc> of <nc>the utterance features</nc> of <nc>a plurality</nc> of <nc>speakers</nc> <nc>who</nc> participated in <nc>a past conversation</nc>, <nc>an emotion estimator</nc> <nc>that</nc> compares, with <nc>the relation information</nc>, <nc>a combination</nc> of <nc>a plurality</nc> of <nc>the utterance</nc> features <nc>that</nc> correspond to <nc>the portions</nc> of <nc>the part</nc> of <nc>the utterance information</nc> of <nc>the user</nc> and <nc>the other person</nc> <nc>who</nc> are related to <nc>the first conversation</nc>, and estimates <nc>an emotion</nc> of at least one of <nc>the user</nc> and <nc>the other person</nc>, and <nc>an output unit</nc> <nc>that</nc> outputs <nc>information</nc> <nc>that</nc> is based on <nc>an estimation result</nc> obtained by <nc>the emotion estimator</nc>.
| 2
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2. <nc>The audio analysis system</nc> according to <nc>claim</nc> 1 , wherein <nc>the terminal apparatus</nc> further includes <nc>a second audio acquisition device</nc> disposed at <nc>a position</nc> where <nc>a sound pressure</nc> of <nc>an utterance-based sound</nc> <nc>that</nc> arrives from <nc>the mouth</nc> of <nc>the user</nc> differs from <nc>a sound pressure</nc> of <nc>the utterance-based sound</nc> <nc>that</nc> arrives at <nc>the first audio acquisition device</nc>, <nc>the second audio acquisition device</nc> acquiring <nc>the sound</nc> and converting <nc>the sound</nc> into <nc>a second audio signal</nc>, wherein <nc>the discriminator</nc> discriminates between <nc>a portion</nc> <nc>that</nc> corresponds to <nc>the utterance</nc> of <nc>the user</nc> and <nc>a portion</nc> <nc>that</nc> corresponds to <nc>the utterance</nc> of <nc>the other person</nc> <nc>which</nc> are contained in <nc>the first audio signal</nc>, on <nc>the basis</nc> of <nc>a result</nc> of comparing <nc>the first audio signal</nc> with <nc>the second audio signal</nc>, and wherein <nc>the utterance feature detector</nc> detects <nc>an utterance feature</nc> of <nc>the user</nc> or <nc>the other person</nc>, on <nc>the basis</nc> of <nc>the portion</nc> <nc>that</nc> corresponds to <nc>the utterance</nc> of <nc>the user</nc> or <nc>the portion</nc> <nc>that</nc> corresponds to <nc>the utterance</nc> of <nc>the other person</nc> <nc>which</nc> is contained in <nc>the first audio signal</nc> or <nc>the second audio signal</nc>.
|
7873616
|
11775106
|
1. <nc>A computer-readable medium</nc> having stored thereon <nc>a set</nc> of <nc>instructions</nc> <nc>which</nc> when executed perform <nc>a method</nc> for recommending <nc>an item</nc> to <nc>a user</nc>, <nc>the method</nc>, comprising: defining <nc>an ontology</nc> as <nc>nodes</nc> in <nc>a graph</nc>, <nc>the nodes</nc> including <nc>a scored node</nc> and <nc>an unscored node</nc>, <nc>the nodes</nc> in <nc>the graph representing concepts</nc>; wherein, <nc>the scored node</nc> has <nc>an associated score</nc> based on <nc>a preference</nc> of <nc>the user</nc> for <nc>a concept</nc> represented by <nc>the scored node</nc>; using <nc>a propagating function</nc> and <nc>the associated score</nc> of <nc>the scored node</nc>, to determine, for <nc>the user</nc>, <nc>a personalized score</nc> of <nc>the unscored node</nc> in <nc>the ontology</nc>; wherein, <nc>the propagation function</nc> determines <nc>the personalized score</nc> of <nc>the unscored node</nc> based on <nc>a relationship</nc> of <nc>the unscored node</nc> and <nc>the scored node</nc> in <nc>the graph</nc> representing <nc>the ontology</nc>; identifying, for <nc>the user</nc>, a qualifying concept from <nc>the concepts</nc> in <nc>the ontology</nc> for <nc>which</nc> <nc>the personalized scores</nc> have been computed, wherein, <nc>the qualifying concept</nc> <nc>that</nc> is identified from <nc>the concepts</nc>, is one <nc>that</nc> is associated <nc>a qualifying score</nc> among <nc>the personalized scores</nc> <nc>that</nc> have been computed for <nc>the concepts</nc> at <nc>the nodes</nc> of <nc>the ontology</nc>; and selecting <nc>the item</nc> <nc>which</nc> is <nc>an instance</nc> of <nc>the qualifying concept</nc> to be recommended to <nc>the user</nc>.
| 5
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5. <nc>The method</nc> of <nc>claim</nc> 1 , further comprising, computing <nc>an a-priori score</nc> of <nc>the scored node</nc> for <nc>use</nc> in <nc>the propagation function</nc>; <nc>wherein a formula</nc> for calculating <nc>the a-priori score</nc> of <nc>the scored node</nc> is <nc>1/(n c +2</nc>) with <nc>n</nc> <nc>c</nc> being <nc>a number</nc> of <nc>descendants</nc> of <nc>the scored node</nc>.
|
9862222
|
15705220
|
1. <nc>A seal application device</nc> comprising: <nc>a scanner</nc>; <nc>an applicator</nc>; <nc>at least one processor</nc>; and <nc>a memory</nc> storing <nc>instructions</nc> <nc>which</nc>, when executed by <nc>the at least one processor</nc>, cause <nc>the at least one processor</nc> to perform <nc>operations</nc> comprising: receiving <nc>at least one image</nc> of <nc>a document</nc>, <nc>the at least one image</nc> generated by <nc>the scanner</nc>; determining, based on <nc>the at least one image</nc>, <nc>data</nc> associated with <nc>the document</nc>; instructing <nc>the applicator</nc> to generate <nc>a seal</nc> <nc>that</nc> encodes <nc>the data</nc> associated with <nc>the document</nc>, <nc>the seal</nc> being applicable to <nc>a tangible version</nc> of <nc>the document</nc>; based on <nc>a scan</nc> of <nc>the seal</nc> applied to <nc>the tangible version</nc> of <nc>the document</nc>, the scan performed by <nc>the scanner</nc>, determining <nc>the data</nc> <nc>that</nc> is encoded in <nc>the seal</nc>; employing <nc>the data</nc> to verify <nc>at least one characteristic</nc> of <nc>the tangible version</nc> of <nc>the document</nc>; employing <nc>the data</nc> to determine <nc>an address</nc> on <nc>a blockchain network</nc>; and accessing <nc>funds</nc> associated with <nc>the address</nc>.
| 3
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3. <nc>The seal application device</nc> of <nc>claim</nc> 1 , wherein <nc>the seal</nc> is <nc>a barcode</nc>, of <nc>at least one dimension</nc>, <nc>that</nc> encodes <nc>the data</nc>.
|
8739026
|
13279283
|
1. <nc>A method</nc> comprising: receiving, by <nc>a processor</nc>, <nc>a markup language schema</nc>; iteratively performing <nc>a plurality</nc> of <nc>times</nc>: determining, by <nc>the processor</nc>, whether <nc>the markup language schema</nc> has <nc>one or more errors</nc>; and, where <nc>the markup language schema</nc> has <nc>one or more errors</nc>, modifying <nc>the markup language schema</nc>, by <nc>the processor</nc>, to attempt to correct <nc>the one or more errors</nc>, wherein determining whether <nc>the markup language schema</nc> has <nc>one or more errors</nc> comprises: transmitting <nc>the markup language schema</nc> to <nc>a validator</nc> <nc>that</nc> validates <nc>the markup language schema</nc>; and, where <nc>the markup language schema</nc> fails <nc>validation</nc> by <nc>the validator</nc>, receiving <nc>identification</nc> of <nc>the one or more errors</nc> from <nc>the validator</nc>, and wherein modifying <nc>the markup language schema</nc> to attempt to correct <nc>the one or more errors</nc> comprises: transmitting <nc>the markup language schema</nc> to <nc>a handler</nc> <nc>that</nc> is to correct <nc>errors</nc> within <nc>markup language schemas</nc>; and, receiving <nc>results</nc> from <nc>the handler</nc> as to whether <nc>the handler</nc> was able to correct <nc>any</nc> of <nc>the one or more errors</nc> within <nc>the markup language schema</nc>.
| 9
|
9. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the markup language schema</nc> is one or more of: <nc>an extensible markup language</nc> (<nc>XML) schema</nc>; an XML schema document (<nc>XSD</nc>); <nc>a markup language schema</nc> written in <nc>accordance</nc> with <nc>a web services description language</nc> (<nc>WSDL</nc>); <nc>part</nc> of <nc>a simple object access protocol (SOAP) stack</nc>; <nc>part</nc> of <nc>a stack</nc> defining <nc>a web service</nc>.
|
9160548
|
14543566
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1. <nc>A computer-implemented method</nc> of matching <nc>users</nc> to <nc>user communities</nc>, <nc>the method</nc> comprising: for <nc>each</nc> of <nc>a plurality</nc> of <nc>users</nc> of <nc>an electronic catalog</nc>, storing <nc>event data</nc> representing <nc>user-generated events</nc> <nc>that</nc> reflect <nc>user affinities</nc> for <nc>particular items</nc> represented in <nc>the electronic catalog</nc>; storing <nc>information</nc> about <nc>a plurality</nc> of <nc>user communities</nc>, <nc>each</nc> of <nc>which</nc> corresponds to <nc>a respective subset</nc> of <nc>the plurality</nc> of <nc>users</nc> and comprises <nc>multiple users</nc>; identifying <nc>a first plurality</nc> of <nc>items</nc> <nc>that</nc> characterize <nc>item preferences</nc> of <nc>a first user community</nc> of <nc>the plurality</nc> of <nc>user communities</nc>; calculating <nc>a degree</nc> to <nc>which</nc> <nc>the first plurality</nc> of <nc>items</nc> are related to <nc>a set</nc> of <nc>items</nc> in <nc>the electronic catalog</nc> identified by <nc>the first user</nc>; and based at least in <nc>part</nc> on <nc>the degree</nc>, determining whether to suggest <nc>the first user community</nc> to <nc>the first user</nc>; wherein <nc>the method</nc> is performed by <nc>one or more computers</nc>.
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4. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the event data</nc> reflects <nc>orders</nc> placed by <nc>users</nc> for <nc>items</nc> represented in <nc>the electronic catalog</nc>.
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9253130
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14185571
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1. <nc>A method</nc> comprising: receiving <nc>one or more data-content-object share indications</nc>, <nc>the one or more data-content-object share indications</nc> indicating that <nc>one or more data content objects</nc> has been shared with <nc>a first user</nc> of <nc>a first client device</nc> by <nc>one or more other users</nc> at <nc>one or more other client devices</nc>, <nc>the one or more data content objects</nc> being stored in <nc>one or more data stores</nc>; in <nc>response</nc> to receiving <nc>the one or more data-content-object share indications</nc>, generating <nc>one or more share notifications</nc>, each of <nc>the one or more share indications</nc> identifying at least one of <nc>the one or more data content objects</nc> indicated by <nc>the one or more data-content-object share indications</nc> and identifying at least one of <nc>the one or more other users</nc>; receiving <nc>one or more data-content-object edit indications</nc>, <nc>the one or more data-content-object edit indications</nc> identifying <nc>one or more edits</nc> to <nc>the one or more data content objects</nc> by <nc>the one or more other users</nc> at <nc>the one or more other client devices</nc>; in <nc>response</nc> to receiving <nc>the one or more data-content-object edit indications</nc>, generating <nc>one or more edit notifications</nc>, each of <nc>the one or more edit notifications</nc> identifying <nc>the one or more data content objects</nc> identified by <nc>the data-content-object edit indications</nc>; receiving <nc>one or more messages</nc> from <nc>the one or more other users</nc> for <nc>the first user</nc> of <nc>the first client device</nc>; presenting <nc>a dashboard</nc> on <nc>the first client device</nc>, the dashboard dedicated to <nc>the first user</nc> and providing <nc>a portal</nc> to <nc>the one or more data content objects</nc> shared by <nc>the one or more other users</nc> with <nc>the first user</nc>, <nc>the dashboard</nc> including <nc>a first row</nc> or <nc>column</nc> dedicated for displaying <nc>the one or more share notifications</nc>, <nc>a second row</nc> or <nc>column</nc> different than <nc>the first row</nc> or <nc>column</nc> and dedicated for displaying <nc>the one or more edit notifications</nc>, and <nc>a third row</nc> or <nc>column</nc> different than <nc>the first row</nc> or <nc>column</nc> and different than <nc>the second row</nc> or <nc>column</nc> and dedicated for displaying <nc>the one or more messages</nc>, wherein <nc>the first row</nc> or <nc>column</nc>, <nc>the second row</nc> or <nc>column</nc>, and <nc>the third row</nc> or <nc>column</nc> are displayed simultaneously on <nc>the dashboard</nc>; and enabling <nc>the first user</nc> to remove <nc>a particular share notification</nc> from <nc>the first row</nc> or <nc>column</nc>, <nc>a particular edit notification</nc> from <nc>the second row</nc> or <nc>column</nc>, and <nc>a particular message</nc> from <nc>the third row</nc> or <nc>column</nc>.
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4. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the dashboard</nc> presents <nc>the notifications</nc> using <nc>cards</nc>, <nc>each card</nc> reporting <nc>at least one notification</nc>.
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8626748
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13365918
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1. <nc>A method</nc> comprising: receiving <nc>a search term</nc>; identifying <nc>instances</nc> of <nc>the search term</nc> in <nc>a source text</nc>; for <nc>each</nc> of <nc>the instances</nc> of <nc>the search term</nc> identified in <nc>the source text</nc>, identifying <nc>a prefix string</nc> comprising <nc>a plurality</nc> of <nc>tokens</nc> preceding <nc>the search term</nc> in <nc>the source text</nc>, and identifying <nc>a suffix string</nc> comprising <nc>a plurality</nc> of <nc>tokens</nc> subsequent to <nc>the search term</nc> in <nc>the source text</nc>; providing <nc>data</nc> to display <nc>a visualization interface</nc> <nc>that</nc> comprises <nc>the search term</nc> within <nc>a combined tree diagram</nc> comprising <nc>a prefix tree</nc> extending to <nc>a first side</nc> of <nc>the search term</nc>, and <nc>a suffix tree</nc> extending to <nc>a second side</nc> of <nc>the search term</nc>, such that <nc>the prefix tree displays</nc>, in <nc>a tree diagram format</nc>, <nc>the prefix strings</nc> for <nc>the instances</nc> of <nc>the search term</nc> identified in <nc>the source text</nc>, and <nc>the suffix tree displays</nc>, in <nc>tree diagram format</nc>, <nc>the suffix strings</nc> for <nc>the instances</nc> of <nc>the search term</nc> identified in <nc>the source text</nc>, wherein <nc>the prefix tree</nc> comprises <nc>tokens</nc> <nc>that</nc> are shared in common among <nc>the prefix strings</nc> as <nc>nodes</nc> connected to <nc>adjacent tokens</nc> by <nc>branches</nc>, and <nc>the suffix tree</nc> comprises <nc>tokens</nc> <nc>that</nc> are shared in common among <nc>the suffix strings</nc> as <nc>nodes</nc> connected to <nc>adjacent tokens</nc> by <nc>branches</nc>, wherein <nc>the branches</nc> in <nc>each</nc> of <nc>the prefix tree</nc> and <nc>the suffix tree</nc> are user-selectable in <nc>the visualization interface</nc>; and in <nc>response</nc> to receiving <nc>a user input</nc> selecting one of <nc>the branches</nc> in <nc>the prefix tree</nc> or in <nc>the suffix tree</nc>, and for <nc>each</nc> of <nc>one or more matching sequences</nc> <nc>that</nc> are connected through <nc>the selected branch</nc>, providing <nc>data</nc> to display <nc>a visual indication</nc> of <nc>a particular prefix string</nc> and <nc>a particular suffix string</nc> in <nc>the visualization interface</nc> <nc>that</nc> form <nc>a unique matching sequence</nc> of <nc>the particular prefix string</nc>, the search term, and the particular suffix string <nc>that</nc> occur together in <nc>the source text</nc>, wherein <nc>each</nc> of <nc>the one or more matching sequences</nc> forms <nc>a unique matching sequence</nc> from <nc>the source text</nc>, and wherein <nc>the visual indication</nc> comprises <nc>a unique graphical indicator</nc> applied to <nc>each unique matching sequence</nc> through <nc>the corresponding nodes</nc> in <nc>the prefix tree</nc>, the search term, and the corresponding nodes in <nc>the suffix tree</nc> for <nc>each</nc> of <nc>the unique matching sequences</nc> <nc>that</nc> comprise <nc>the search term</nc> and <nc>the selected branch</nc>.
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5. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the selected branch</nc> is <nc>a first selected branch</nc>, <nc>the method</nc> further comprising: receiving <nc>a user input</nc> selecting another one of <nc>the branches</nc> in <nc>the prefix tree</nc> or in <nc>the suffix tree</nc> as <nc>a second selected branch</nc>; and for <nc>each</nc> of <nc>one or more matching sequences</nc> <nc>that</nc> are connected through <nc>the first selected branch</nc> and <nc>the second selected branch</nc>, providing <nc>data</nc> to display <nc>visual indications</nc> of <nc>prefix strings</nc> and <nc>suffix strings</nc> in <nc>the visualization interface</nc> <nc>that</nc> form <nc>a unique matching sequence</nc> of <nc>a particular prefix string</nc>, <nc>the search term</nc>, and <nc>a particular suffix string</nc> <nc>that</nc> occur together in <nc>the source text</nc>, wherein <nc>each</nc> of <nc>the one or more matching sequences</nc> forms <nc>a unique matching sequence</nc> from <nc>the source text</nc>, and wherein <nc>the visual indication</nc> comprises <nc>a unique graphical indicator</nc> applied to <nc>each unique matching sequence</nc> through <nc>the corresponding nodes</nc> in <nc>the prefix tree</nc>, <nc>the search term</nc>, and <nc>the corresponding nodes</nc> in <nc>the suffix tree</nc> for <nc>each</nc> of <nc>the unique matching sequences</nc> <nc>that</nc> comprise <nc>the search term</nc>, <nc>the first selected branch</nc>, and <nc>the second selected branch</nc>.
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9606978
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14090184
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1. <nc>A method</nc> for determining <nc>relationships</nc> in <nc>tabular data</nc>, <nc>the method</nc> comprising: receiving <nc>a set</nc> of <nc>documents</nc>, <nc>a document</nc> in <nc>the set</nc> including <nc>the tabular data</nc>; applying, to <nc>the tabular data</nc>, <nc>a library</nc> of <nc>hypotheses</nc> specific to <nc>a subject-matter domain</nc> of <nc>the tabular data</nc>, <nc>each hypothesis</nc> in <nc>the library</nc> representing <nc>a hypothetical relationship</nc> between <nc>hypothetical cells</nc> of <nc>a hypothetical table</nc>, <nc>a first hypothesis</nc> in <nc>the library</nc> of <nc>hypotheses</nc> applying to <nc>hypothetical cells</nc> in <nc>a column</nc> of <nc>the hypothetical table</nc>, <nc>a second hypothesis</nc> applying to <nc>hypothetical cells</nc> in <nc>a row</nc> of <nc>the hypothetical table</nc>, <nc>a third hypothesis</nc> repeating in <nc>different columns</nc> of <nc>hypothetical cells</nc> of <nc>the hypothetical table</nc>, <nc>a fourth hypothesis</nc> repeating in <nc>different rows</nc> of <nc>hypothetical cells</nc> of <nc>the hypothetical table</nc>, wherein <nc>the hypotheses</nc> in <nc>the library</nc> are configured <nc>such that an applicability</nc> of <nc>a particular hypothesis</nc> to <nc>actual cells</nc> of <nc>the tabular data</nc> boosts <nc>an applicability</nc> of <nc>another particular hypothesis</nc> to <nc>the tabular data</nc>; identifying <nc>a markup</nc> in <nc>the document</nc>, <nc>the markup</nc> relating to <nc>a cell</nc> in <nc>the tabular data</nc>; identifying, using <nc>the markup</nc>, <nc>a selected cell-range</nc> in <nc>the tabular data</nc>; selecting <nc>the cell</nc> to determine <nc>a dependency</nc> of <nc>the cell</nc> on <nc>the cell-range</nc>; selecting, based on <nc>the markup</nc>, a hypothesis from <nc>the library</nc> of <nc>hypotheses</nc> to use in <nc>conjunction</nc> with <nc>the cell</nc> and <nc>the cell-range</nc>; applying <nc>the hypothesis</nc> to <nc>the cell-range</nc>; evaluating, based on <nc>a confidence value</nc>, that <nc>the hypothesis</nc> does not fit <nc>the cell-range</nc>; changing, responsive to <nc>the evaluating</nc>, <nc>the cell-range</nc> to form <nc>an adjusted cell-range</nc>; applying <nc>the hypothesis</nc> to <nc>the adjusted cell-range</nc>; and narrating according to <nc>the hypothesis</nc>, responsive to <nc>the hypothesis</nc> fitting <nc>the adjusted cell-range</nc>, using <nc>Natural Language Processing</nc>, <nc>a functional dependency</nc> between <nc>the cell</nc> and <nc>the adjusted cell-range</nc>.
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8. <nc>The method</nc> of <nc>claim</nc> 1 , wherein <nc>the markup</nc> is <nc>a structural component</nc> of <nc>the tabular data</nc>, <nc>the structural component</nc> being <nc>a boundary</nc> marked in <nc>the tabular data</nc>.
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