Mining Rich Session Context to Improve Web Search. Guangyu Zhu. ∗. Institute for Advanced Computer Studies. University of Maryland. College Park, MD 20742.
In this paper, we expand the use of browsing information for web search ranking and other applications, with an emphasis on analyzing individual user sessions ...
Sep 14, 2009 · User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and ...
Bibliographic details on Mining rich session context to improve web search.
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In this paper, we expand the use of browsing information for web search ranking and other applications, with an emphasis on analyzing individual user sessions ...
Mining rich session context to improve web search. G. Zhu, and G. Mishne. KDD, page 1037-1046. ACM, (2009 ). 3. 7. Meta data. BibTeX key: conf/kdd/ZhuM09 ...
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Mining rich session context to improve web search IEEE PAPER, IEEE PROJECT.
In this article, we demonstrate the importance of mining general Web user behavior data to improve ranking and other Web-search experience, with an emphasis on ...
Clickrank: learning session-context models to enrich web search ranking. G Zhu, G ... Mining rich session context to improve web search. G Zhu, G Mishne.