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Volumn 88, Issue 3, 2012, Pages 369-398

How to reverse-engineer quality rankings

Author keywords

Applications of machine learning; Discrete optimization; Quality ratings; Reverse engineering; Supervised ranking

Indexed keywords

CRITICAL STEPS; DISCRETE OPTIMIZATION; LEARNING APPROACH; PREFERENCE INFORMATION; PRODUCT QUALITY; QUALITY RANKING; QUALITY RATINGS; RANK STATISTICS; SUPERVISED RANKING;

EID: 84865269307     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-012-5295-6     Document Type: Article
Times cited : (13)

References (24)
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    • Bertsimas, D.1    Chang, A.2    Rudin, C.3
  • 12
    • 23044527359 scopus 로고    scopus 로고
    • Thirty years of conjoint analysis: Rreflections and prospects
    • Green, P. E., Krieger, A. M., & Wind, Y. (J.) (2001). Thirty years of conjoint analysis: Reflections and prospects. Interfaces, 31(3), S56-S73. (Pubitemid 33317336)
    • (2001) Interfaces , vol.31 , Issue.3 PART 2
    • Green, P.E.1    Krieger, A.M.2    Wind, Y.3
  • 15
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    • A new measure of rank correlation
    • Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81-93.
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    • Kendall, M.G.1
  • 16
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    • Document language models, query models, and risk minimization for information retrieval
    • Lafferty, J., & Zhai, C. (2001). Document language models, query models, and risk minimization for information retrieval. In Proceedings of the 24th annual international ACM SIGIR conference on research and development in information retrieval (pp. 111-119). New York: ACM Press. (Pubitemid 32951063)
    • (2001) SIGIR Forum (ACM Special Interest Group on Information Retrieval) , pp. 111-119
    • Lafferty, J.1    Zhai, C.2
  • 20
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    • New York Times Business Section April 24, 2010. Article at
    • Morgenson, G., & Story, L. (2010). Rating agency data aided wall street in deals. New York Times, Business section, April 24, 2010. Article at http://www.nytimes.com/2010/04/24/business/24rating.html.
    • (2010) Rating Agency Data Aided Wall Street In Deals
    • Morgenson, G.1    Story, L.2
  • 21
    • 70450239631 scopus 로고    scopus 로고
    • The P-Norm Push: A simple convex ranking algorithm that concentrates at the top of the list
    • Rudin, C. (2009). The P-Norm Push: A simple convex ranking algorithm that concentrates at the top of the list. Journal of Machine Learning Research, 10, 2233-2271.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 2233-2271
    • Rudin, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.