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Volumn , Issue , 2010, Pages 1125-1126

Optimizing two-stage bigram language models for IR

Author keywords

bigram LM; parameter tuning; retrieval model

Indexed keywords

BIGRAM LANGUAGE MODELS; COMPONENT MODEL; ENGINEERING CHALLENGES; FREE PARAMETERS; HIGHER ORDER; HIGHER-ORDER LANGUAGES; LINEAR RANKING; PARAMETER-TUNING; RETRIEVAL MODELS; RETRIEVAL SYSTEMS; TWO STAGE;

EID: 77954601057     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1772690.1772836     Document Type: Conference Paper
Times cited : (5)

References (8)
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  • 2
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  • 3
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    • M. T. et al. Optimisation methods for ranking functions with multiple parameters. In CIKM, pages 585-593, 2006.
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  • 4
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    • Cumulated gain-based evaluation of ir techniques
    • K. J̈arvelin and J. Kek̈al̈ainen. Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst., 20(4):422-446, 2002.
    • (2002) ACM Trans. Inf. Syst. , vol.20 , Issue.4 , pp. 422-446
    • J̈arvelin, K.1    Kek̈al̈ainen, J.2
  • 5
    • 84885662673 scopus 로고    scopus 로고
    • A markov random field model for term dependencies
    • D. Metzler andW. B. Croft. A markov random field model for term dependencies. In SIGIR, pages 472-479, 2005.
    • (2005) SIGIR , pp. 472-479
    • Metzler, D.1    Croft, W.B.2
  • 6
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    • An efficient method for finding the minimum of a function of several variables without calculating derivatives
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    • Powell, M.J.D.1
  • 7
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    • Two-stage language models for information retrieval
    • C. Zhai and J. Lafferty. Two-stage language models for information retrieval. In SIGIR, pages 49-56, 2002.
    • (2002) SIGIR , pp. 49-56
    • Zhai, C.1    Lafferty, J.2
  • 8
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    • A study of smoothing methods for language models applied to information retrieval
    • C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst., 22(2):179-214, 2004.
    • (2004) ACM Trans. Inf. Syst. , vol.22 , Issue.2 , pp. 179-214
    • Zhai, C.1    Lafferty, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.