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Volumn , Issue , 2009, Pages 641-649

Post-rank reordering: Resolving preference misalignments between search engines and end users

Author keywords

Preference models; Result reordering; Web search

Indexed keywords

APPROXIMATION SCHEME; CHAIN MODELS; CLICKTHROUGH DATA; END USERS; NO SEARCH; ONLINE COMPUTATIONS; PREFERENCE MODELS; REAL WORLD DATA; WEB SEARCHES; WEB USERS;

EID: 74549128582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646035     Document Type: Conference Paper
Times cited : (5)

References (28)
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    • Fagni, T.1    Perego, R.2    Silvestri, F.3    Orlando, S.4
  • 14
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    • Generalized bradley-terry models and multi-class probability estimates
    • T.-K. Huang, R. C. Weng, and C.-J. Lin. Generalized bradley-terry models and multi-class probability estimates. J. Mach. Learn. Res., 7:85-115, 2006.
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    • Huang, T.-K.1    Weng, R.C.2    Lin, C.-J.3
  • 15
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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
  • 25
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    • M. Shokouhi1, F. Scholer, and A. Turpin. Investigating the effectiveness of clickthrough data for document reordering. In ECIR'08: Proceedings of the The 30th European Conference on Information Retrieval, pages 591-595, 2008.
    • M. Shokouhi1, F. Scholer, and A. Turpin. Investigating the effectiveness of clickthrough data for document reordering. In ECIR'08: Proceedings of the The 30th European Conference on Information Retrieval, pages 591-595, 2008.
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    • Learning to rank
    • A. Trotman. Learning to rank. Information Retrieval, 8(3):359-381, 2005.
    • (2005) Information Retrieval , vol.8 , Issue.3 , pp. 359-381
    • Trotman, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.