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Ranking function / Ranking SVM / Relevance feedback / Google Search / Web search query / Search engine / Document retrieval / Bing / Web query classification / Information science / Information retrieval / Learning to rank


Query Chains: Learning to Rank from Implicit Feedback Filip Radlinski
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Document Date: 2007-08-03 03:34:50


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City

Bedford / Chicago / /

Company

Lexis Nexis / Neural Information Processing Systems / MIT Press / Google / AltaVista / /

Country

United States / /

Currency

USD / /

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Facility

Cornell University Library / Library Research Workshops Weight / Cornell University / /

IndustryTerm

search engines using clickthrough data / work studying web search behavior / web users / learning search engine using document transformation / search session / library search page / overall user search behavior / search logs / real-world web search system / search engine log / dataset using search logs / search engine adaptation / text search engine / search engine performance / search engine log data / accessible real-world search engine / real-world search engine / web query refinement / online search / search page / web search results / trivial and undesirable solution / web search engine / search system / search engine queries / search engines / search engine3 / web search engines / library1 web search / library search system / web search / search engine log files / ranked retrieval systems / search engine logs / search engine / meta search environment / search results / learning algorithm / search engine query log / /

Organization

National Digital Library Foundation / Implicit Feedback Filip Radlinski Thorsten Joachims Department of Computer Science Cornell University Ithaca / National Science Foundation / MIT / USA Department of Computer Science Cornell University Ithaca / Query association / Department of Learning and Instruction / Cornell University / /

Person

Paul Houle / Geri Gay / Laura Granka / Alex Cheng / Filip Radlinski Thorsten Joachims / Ezra Cornell / Simeon Warner / Reuleaux / Paul Ginsparg / Bing Pang / Williams / Atit Patel / Charitha Tillekeratne / Helene Hembrooke / /

Position

editor / relevance judge / General / Professor / Singer / /

Product

Osmot / Nutch / /

ProgrammingLanguage

HTML / /

ProvinceOrState

Illinois / /

PublishedMedium

Machine Learning / Journal of Artificial Intelligence Research / /

Technology

ASL / search engine / Machine Learning / HTML / Terms Algorithms / learning algorithm / Natural Language Processing / Knowledge Management / HTTP / Data Mining / /

URL

http /

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