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Volumn 2006, Issue , 2006, Pages 19-26

Improving web search ranking by incorporating user behavior information

Author keywords

Implicit relevance feedback; Web search; Web search ranking

Indexed keywords

ALGORITHMS; DATA ACQUISITION; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; QUERY LANGUAGES; WEBSITES; FEATURE EXTRACTION; FEEDBACK CONTROL; INFORMATION RETRIEVAL SYSTEMS; QUERY PROCESSING; USER INTERFACES;

EID: 33750341480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1148170.1148177     Document Type: Conference Paper
Times cited : (867)

References (27)
  • 4
    • 0002505172 scopus 로고    scopus 로고
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    • S. Brin and L. Page, The Anatomy of a Large-scale Hypertextual Web Search Engine, in Proceedings of WWW, 1997
    • (1997) Proceedings of WWW
    • Brin, S.1    Page, L.2
  • 13
    • 0006506807 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical. Advances in Kernel methods
    • MIT Press
    • T. Joachims, Making Large-Scale SVM Learning Practical. Advances in Kernel Methods, in Support Vector Learning, MIT Press, 1999
    • (1999) Support Vector Learning
    • Joachims, T.1
  • 14
    • 8644249427 scopus 로고    scopus 로고
    • Implicit feedback for inferring user preference: A bibliography
    • D. Kelly and J. Teevan, Implicit feedback for inferring user preference: A bibliography. In SIGIR Forum, 2003
    • SIGIR Forum, 2003
    • Kelly, D.1    Teevan, J.2
  • 19
    • 2942612506 scopus 로고    scopus 로고
    • The SST method: A tool for analyzing web information search processes
    • N. Pharo, N. and K. Järvelin. The SST method: a tool for analyzing web information search processes. In Information Processing & Management, 2004
    • (2004) Information Processing & Management
    • Pharo, N.1    Järvelin, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.