메뉴 건너뛰기




Volumn , Issue , 2010, Pages 162-169

Learning to rank only using training data from related domain

Author keywords

Domain adaptation; Instance weighting; Learning to rank; RankNet; RankSVM; Related domain

Indexed keywords

DOMAIN ADAPTATION; INSTANCE WEIGHTING; LEARNING TO RANK; RANKNET; RANKSVM; RELATED DOMAIN;

EID: 77956027391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835478     Document Type: Conference Paper
Times cited : (29)

References (37)
  • 1
    • 57349154278 scopus 로고    scopus 로고
    • A boosting algorithm for learning bipartite ranking functions with partially labeled data
    • M. R. Amini, T. V. Truong, and C. Goutte. A Boosting algorithm for learning bipartite ranking functions with partially labeled data. In Proceedings of SIGIR, pages 99-106, 2006.
    • (2006) Proceedings of SIGIR , pp. 99-106
    • Amini, M.R.1    Truong, T.V.2    Goutte, C.3
  • 14
    • 57349182209 scopus 로고    scopus 로고
    • Learning to rank with partially-labeled data
    • K. Duh and K. Kirchhoff. Learning to rank with partially-labeled data. In Proceedings of SIGIR, pages 251-258, 2008.
    • (2008) Proceedings of SIGIR , pp. 251-258
    • Duh, K.1    Kirchhoff, K.2
  • 20
    • 0033645041 scopus 로고    scopus 로고
    • IR evaluation methods for retrieving highly relevant documents
    • K. Järvelin and J. Kekäläinen. IR evaluation methods for retrieving highly relevant documents. In Proceedings of SIGIR, pages 41-48, 2000.
    • (2000) Proceedings of SIGIR , pp. 41-48
    • Järvelin, K.1    Kekäläinen, J.2
  • 25
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • MIT Press
    • J. C. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in Large Margin Classifiers, pages 61-74. MIT Press, 1999.
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.C.1
  • 26
    • 0032268440 scopus 로고    scopus 로고
    • A language modeling approach to information retrieval
    • J. Ponte and W. B. Croft. A language modeling approach to information retrieval. In Proceedings of SIGIR, pages 275-281, 1998.
    • (1998) Proceedings of SIGIR , pp. 275-281
    • Ponte, J.1    Croft, W.B.2
  • 27
    • 77954568972 scopus 로고    scopus 로고
    • LETOR: A benchmark collection for research on learning to rank for information retrieval
    • T. Qin, T.-Y. Liu, J. Xu, and H. Li. LETOR: A benchmark collection for research on learning to rank for information retrieval. Information Retrieval, 2010.
    • (2010) Information Retrieval
    • Qin, T.1    Liu, T.-Y.2    Xu, J.3    Li, H.4
  • 28
    • 0017630891 scopus 로고
    • The probability ranking principle in IR
    • S. E. Roberson. The probability ranking principle in IR. Journal of Documentation, 33(4):294-304, 1977.
    • (1977) Journal of Documentation , vol.33 , Issue.4 , pp. 294-304
    • Roberson, S.E.1
  • 30
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24(5):513-523, 1988.
    • (1988) Information Processing and Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 35
  • 37
    • 0034788435 scopus 로고    scopus 로고
    • A study of smoothing methods for language models applied to ad hoc information retrieval
    • C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to ad hoc information retrieval. In Proceedings of SIGIR, pages 334-342, 2001.
    • (2001) Proceedings of SIGIR , pp. 334-342
    • Zhai, C.1    Lafferty, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.