373-radlinski.bbl
\begin{thebibliography}{10}

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\newblock Learning to order things.
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\newblock Pranking with ranking.
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\bibitem{Cucerzan04}
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\newblock Spelling correction as an iterative process that exploits the
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\newblock Eye tracking analysis of user behaviors in online search.
\newblock Master's thesis, Cornell University, 2004.

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\newblock Eye-tracking analysis of user behavior in www search.
\newblock In {\em Poster Abstract, Proceedings of the Conference on Research
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\bibitem{Herbrich00}
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\newblock Large margin rank boundaries for ordinal regression.
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\newblock Making large-scale {SVM} learning practical.
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\bibitem{Joachims02}
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\newblock Optimizing search engines using clickthrough data.
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\bibitem{Joachims03}
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\newblock Evaluating retrieval performance using clickthrough data.
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\bibitem{Joachims05}
T.~Joachims, L.~Granka, B.~Pang, H.~Hembrooke, and G.~Gay.
\newblock Accurately interpreting clickthrough data as implicit feedback.
\newblock In {\em Annual ACM Conference on Research and Development in
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\bibitem{Jones03}
R.~Jones and D.~C. Fain.
\newblock Query word deletion prediction.
\newblock In {\em Annual ACM Conference on Research and Development in
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\bibitem{Kemp02}
C.~Kemp and K.~Ramamohanarao.
\newblock Long-term learning for web search engines.
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\bibitem{Lau99}
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\newblock Patterns of search: Analyzing and modelling web query refinement.
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\bibitem{Oztekin02}
B.~U. Oztekin, G.~Karypis, and V.~Kumar.
\newblock Expert agreement and content based reranking in a meta search
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\bibitem{Rajaram03}
S.~Rajaram, A.~Garg, Z.~S. Zhou, and T.~S. Huang.
\newblock Classification approach towards ranking and sorting problems.
\newblock In {\em Lecture Notes in Artificial Intelligence}, volume 2837, pages
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\bibitem{Scholer02}
F.~Scholer and H.~E. Williams.
\newblock Query association for effective retrieval.
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\bibitem{Silverstein98}
C.~Silverstein, M.~Henzinger, H.~Marais, and M.~Moricz.
\newblock Analysis of a very large {AltaVista} query log.
\newblock Technical Report 1998-014, Digital SRC, 1998.

\bibitem{Tan04}
Q.~Tan, X.~Chai, W.~Ng, and D.-L. Lee.
\newblock Applying co-training to clickthrough data for search engine
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\newblock In {\em Proceedings of the 9th International Conference on Database
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\end{thebibliography}
