Optimizing search engine revenue in sponsored search

Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Volumn , Issue , 2009, Pages 588-595

  Zhu, Yunzhang ^a,b   Wang, Gang ^a   Yang, Junli ^a,c   Wang, Dakan ^a,d   Yan, Jun ^a   Hu, Jian ^a   Chen, Zheng ^a  

^a MICROSOFT RESEARCH ASIA   (China)

^b TSINGHUA UNIVERSITY   (China)

^c NANKAI UNIVERSITY   (China)

^d SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Machine learning; Ranking; Revenue optimization; Sponsored search

Indexed keywords

EXPERIMENTAL STUDIES; FEATURE RANKING; HIGH QUALITY; LOG DATA; MACHINE-LEARNING; NOVEL METHODS; RANKING FUNCTIONS; RANKING MODEL; REVENUE OPTIMIZATION; SEARCH RESULTS;

ALGORITHMS; ENGINES; FEATURE EXTRACTION; INFORMATION SERVICES; OPTIMIZATION; ROBOT LEARNING; SEARCH ENGINES; WORLD WIDE WEB;

INFORMATION RETRIEVAL;

EID: 72449174313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1572042     Document Type: Conference Paper

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