Model adaptation via model interpolation and boosting for Web search ranking

EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009

Volumn , Issue , 2009, Pages 505-513

  Gao, Jianfeng ^a   Wu, Qiang ^a   Burges, Chris ^a   Svore, Krysta ^a   Su, Yi ^b   Khan, Nazan ^c   Shah, Shalin ^c   Zhou, Hongyan ^c  

^a MICROSOFT RESEARCH   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c MICROSOFT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; INTERPOLATION; NATURAL LANGUAGE PROCESSING SYSTEMS; TESTING; WEBSITES;

BOOSTING ALGORITHM; ERROR-DRIVEN LEARNING; MODEL ADAPTATION; MODEL INTERPOLATION; TRAINING DATA; TREE-BASED; VIA MODELING; WEB SEARCH RANKINGS;

TREES (MATHEMATICS);

EID: 77956206577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1699571.1699578     Document Type: Conference Paper

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