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Volumn 24, Issue 4, 2011, Pages 478-483

Learning to rank with document ranks and scores

Author keywords

Boosting algorithm; Information retrieval; Learning to rank; Loss function; Machine learning

Indexed keywords

BENCHMARK DATA; BOOSTING ALGORITHM; LEARNING TO RANK; LOSS FUNCTION; MACHINE LEARNING; MACHINE LEARNING COMMUNITIES; PERFORMANCE FUNCTIONS; PRIOR KNOWLEDGE; RANKING FUNCTIONS; RELEVANCE SCORE; RESEARCH TOPICS; SUB-OPTIMAL PERFORMANCE;

EID: 79952450717     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.12.005     Document Type: Article
Times cited : (16)

References (25)
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    • Herbrich Ralf1    Graepel Thore2    Obermayer Klaus3
  • 17
    • 15544380225 scopus 로고    scopus 로고
    • Learning filtering rulesets for ranking refinement in relevance feedback
    • DOI 10.1016/j.knosys.2004.04.011, PII S0950705104000607
    • M. Okabe, and S. Yamada Learning filtering rulesets for ranking refinement in relevance feedback Knowledge-Based Systems 18 2-3 2005 117 124 (Pubitemid 40402984)
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    • Okabe, M.1    Yamada, S.2
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    • Knowledge-based image retrieval system
    • DOI 10.1016/j.knosys.2007.02.002, PII S0950705107000172
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    • Rallabandi, V.P.S.1    Sett, S.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.