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Volumn , Issue , 2011, Pages 397-406

Evaluating new search engine configurations with pre-existing judgments and clicks

Author keywords

Relevance estimation; Relevance evaluation; User browsing models

Indexed keywords

DATA SETS; ENGINE CONFIGURATION; EVALUATION METHODS; ON-LINE TESTS; PERFORMANCE ESTIMATION; RANDOM SAMPLE; RELEVANCE EVALUATION; SEARCH MODELS; SEARCH RESULTS; SMOOTHING TECHNIQUES;

EID: 84871081785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1963405.1963463     Document Type: Conference Paper
Times cited : (8)

References (16)
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    • B. Carterette, J. Allan, and R. K. Sitaraman. Minimal test collections for retrieval evaluation. In E. N. Efthimiadis, S. T. Dumais, D. Hawking, and K. Järvelin, editors, SIGIR, pages 268-275, 2006.
    • (2006) SIGIR , pp. 268-275
    • Carterette, B.1    Allan, J.2    Sitaraman, R.K.3
  • 4
    • 85162040006 scopus 로고    scopus 로고
    • Evaluating search engines by modeling the relationship between relevance and clicks
    • J. Platt, D. Koller, Y. Singer, and S. Roweis, editors, MIT Press, Cambridge, MA
    • B. Carterette and R. Jones. Evaluating search engines by modeling the relationship between relevance and clicks. In J. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 217-224. MIT Press, Cambridge, MA, 2008.
    • (2008) Advances in Neural Information Processing Systems , vol.20 , pp. 217-224
    • Carterette, B.1    Jones, R.2
  • 6
    • 84865624822 scopus 로고    scopus 로고
    • A dynamic bayesian network click model for web search ranking
    • O. Chapelle and Y. Zhang. A dynamic bayesian network click model for web search ranking. In WWW. 2009.
    • (2009) WWW
    • Chapelle, O.1    Zhang, Y.2
  • 7
    • 42549140738 scopus 로고    scopus 로고
    • An experimental comparison of click position-bias models
    • In M. Najork, A. Z. Broder, and S. Chakrabarti, editors
    • N. Craswell, O. Zoeter, M. J. Taylor, and B. Ramsey. An experimental comparison of click position-bias models. In M. Najork, A. Z. Broder, and S. Chakrabarti, editors, WSDM, pages 87-94, 2008.
    • (2008) WSDM , pp. 87-94
    • Craswell, N.1    Zoeter, O.2    Taylor, M.J.3    Ramsey, B.4
  • 9
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    • Cumulated gain-based evaluation of IR techniques
    • K. Järvelin and J. Kekäläinen. 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
    • Järvelin, K.1    Kekäläinen, J.2
  • 11
    • 34548215752 scopus 로고    scopus 로고
    • Search engines that learn from implicit feedback
    • August
    • T. Joachims and F. Radlinski. Search engines that learn from implicit feedback. IEEE Computer, 40(8):34-40, August 2007.
    • (2007) IEEE Computer , vol.40 , Issue.8 , pp. 34-40
    • Joachims, T.1    Radlinski, F.2
  • 12
    • 66949147248 scopus 로고    scopus 로고
    • Rank-biased precision for measurement of retrieval effectiveness
    • A. Moffat and J. Zobel. Rank-biased precision for measurement of retrieval effectiveness. ACM Trans. Inf. Syst., 27(1):1-27, 2008.
    • (2008) ACM Trans. Inf. Syst. , vol.27 , Issue.1 , pp. 1-27
    • Moffat, A.1    Zobel, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.