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Web search query / Google Search / Discounted cumulative gain / Information science / Information retrieval / Learning to rank


On the Usefulness of Query Features for Learning to Rank Craig Macdonald Rodrygo L.T. Santos Iadh Ounis
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Document Date: 2012-11-19 07:56:49


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File Size: 99,72 KB

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City

Santos / /

Company

Yahoo! / Microsoft / /

Country

United States / /

Currency

USD / /

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Facility

Computing Science University of Glasgow Glasgow / /

IndustryTerm

Web documents / Web tracks / query log mining / Web search results / large Web datasets / Web Eng / Web search / Web track / search engine / /

Organization

UK School / Rank Craig Macdonald Rodrygo L.T. Santos Iadh Ounis School / Univ. of Tor Vergata / Computing Science University of Glasgow Glasgow / Univ. of Glasgow / /

Person

Tor Vergata / G. Amati / V / B. He / V / G. V. Cormack / T. Santos Iadh / C. Macdonald / V / /

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Position

static absorbing model for the Web / ranking model for each fold / Markov random field model for term dependencies / weak Porter / representative / /

PublishedMedium

Machine Learning / /

Technology

search engine / Machine Learning / /

URL

http /

SocialTag