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Volumn , Issue , 2009, Pages 1086-1095

Empirical exploitation of click data for task specific ranking

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80053400193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1699648.1699654     Document Type: Conference Paper
Times cited : (3)

References (30)
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    • 84951778046 scopus 로고    scopus 로고
    • Machine learning for sequential data: A review
    • T. G. Dietterich. 2002. Machine learning for sequential data: a review. Lecture Notes in Computer Science, (2396):15-30.
    • (2002) Lecture Notes in Computer Science , Issue.2396 , pp. 15-30
    • Dietterich, T.G.1
  • 12
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. Friedman. 2001. Greedy function approximation: a gradient boosting machine. Ann. Statist., 29:1189-1232.
    • (2001) Ann. Statist. , vol.29 , pp. 1189-1232
    • Friedman, J.1
  • 19
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, pages 282-289.
    • (2001) ICML , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 22
    • 84455205631 scopus 로고    scopus 로고
    • Learning to rank for information retrieval
    • T. Y Liu. 2008. Learning to rank for information retrieval. SIGIR tutorial.
    • (2008) SIGIR Tutorial
    • Liu, T.Y.1
  • 23
    • 85093059925 scopus 로고    scopus 로고
    • Global ranking using continuous conditional random fields
    • T. Qin, T. Liu, X. Zhang, D. Wang, and H. Li. 2008. Global ranking using continuous conditional random fields. In NIPS.
    • (2008) NIPS
    • Qin, T.1    Liu, T.2    Zhang, X.3    Wang, D.4    Li, H.5
  • 30
    • 84865328708 scopus 로고    scopus 로고
    • A general boosting method and its application to learning ranking functions for web search
    • Z. Zheng, H. Zhang, T. Zhang, O. Chapelle, K. Chen, and G. Sun. 2007. A general boosting method and its application to learning ranking functions for web search. NIPS.
    • (2007) NIPS
    • Zheng, Z.1    Zhang, H.2    Zhang, T.3    Chapelle, O.4    Chen, K.5    Sun, G.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.