| Document Date: 2009-12-30 01:30:58
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City New York City / New York / / Company Springer Publishing / A. Press / Neural Information Processing Systems / MySpace / ACM Press / Twitter / Ciya Liao Yahoo! Labs Yahoo! Labs / / Country United States / Netherlands / United Kingdom / Ireland / / Currency USD / / / Facility Cornell University / / IndustryTerm search depending / search parameters / search engines using clickthrough data / improvement using utilities / Web spam detection / given web page / Web users / individual document utilities / layered bayesian networks / search decreases / web search engine / web search result preferences / machine learning algorithm / Web Search Engine Georges Dupret / search engines / search engine click data / diļ¬erent search / web search / search length / user web search activity / search result page / Web search engines clickthrough logs / social network / web logs / web search engine logs / Web personalization / search engine / Web search engine evaluation using clickthrough data / particular algorithm / search results / document utilities / knowledge mining / / Organization Department of Computer Science / US Federal Reserve / Cornell University / / Person G. Dupret / V / / Position editor / dynamic bayesian network click model for web search ranking / leader / scientist / General / / Product Pentax K-x Digital Camera / / ProvinceOrState New York / / PublishedMedium the Machine Learning / / Technology particular algorithm / machine learning algorithm / Data Mining / Search Engine / Machine Learned Ranking algorithm / Terms Algorithms / ranking algorithm / / URL www.yahoo.com / /
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A Model to Estimate Intrinsic Document Relevance from the Clickthrough Logs of a Web Search Engine Georges Dupret Ciya Liao