A user browsing model to predict search engine click data from past observations

ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings

Volumn , Issue , 2008, Pages 331-338

  Dupret, Georges ^a   Piwowarski, Benjamin ^a  

^a YAHOO RESEARCH   (United States)

Author keywords

Clickthrough data; Search engines; Statistical model; User behavior

Indexed keywords

BEFORE AND AFTER; BROWSING MODELS; CLICKTHROUGH DATA; CROSS VALIDATIONS; GAIN INSIGHTS; REAL DATUMS; RELEVANT DOCUMENTS; SIDE EFFECTS; STATISTICAL MODEL; UNBIASED ESTIMATES; USER BEHAVIOR;

BEHAVIORAL RESEARCH; COMPUTER SOFTWARE; INFORMATION SERVICES; INTERNET; RESEARCH AND DEVELOPMENT MANAGEMENT; SEARCH ENGINES; TELECOMMUNICATION NETWORKS; WORLD WIDE WEB;

INFORMATION RETRIEVAL;

EID: 57349140734     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390392     Document Type: Conference Paper

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