  In the view of massive content explosion in World Wide Web through diverse
sources, it has become mandatory to have content filtering tools. The filtering
of contents of the web pages holds greater significance in cases of access by
minor-age people. The traditional web page blocking systems goes by the Boolean
methodology of either displaying the full page or blocking it completely. With
the increased dynamism in the web pages, it has become a common phenomenon that
different portions of the web page holds different types of content at
different time instances. This paper proposes a model to block the contents at
a fine-grained level i.e. instead of completely blocking the page it would be
efficient to block only those segments which holds the contents to be blocked.
The advantages of this method over the traditional methods are fine-graining
level of blocking and automatic identification of portions of the page to be
blocked. The experiments conducted on the proposed model indicate 88% of
accuracy in filtering out the segments.
