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Volumn 30, Issue , 2013, Pages 25-54

A theoretical analysis of NDCG ranking measures

Author keywords

Consistent Distinguishability; NDCG; Ranking; Ranking measures

Indexed keywords

ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

EID: 84898043454     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (257)

References (39)
  • 2
    • 36448971554 scopus 로고    scopus 로고
    • The relationship between IR effectiveness measures and user satisfaction
    • A. Al-Maskari, M. Sanderson, and P. Clough. The relationship between IR effectiveness measures and user satisfaction. In SIGIR, pages 773-774, 2007.
    • (2007) SIGIR , pp. 773-774
    • Al-Maskari, A.1    Sanderson, M.2    Clough, P.3
  • 9
    • 84877756508 scopus 로고    scopus 로고
    • On the (non-)existence of convex, calibrated surrogate losses for ranking
    • P. Bartlett, F.C.N. Pereira, C.J.C. Burges, L. Bottou, and K.Q. Weinberger, editors
    • Clément Calauzènes, Nicolas Usunier, and Patrick Gallinari. On the (non-)existence of convex, calibrated surrogate losses for ranking. In P. Bartlett, F.C.N. Pereira, C.J.C. Burges, L. Bottou, and K.Q. Weinberger, editors, Advances in Neural Information Processing Systems 25, pages 197-205. 2012.
    • (2012) Advances in Neural Information Processing Systems 25 , pp. 197-205
    • Calauzènes, C.1    Usunier, N.2    Gallinari, P.3
  • 10
    • 34547987951 scopus 로고    scopus 로고
    • Learning to rank: From pairwise approach to listwise approach
    • Z. Cao, T. Qin, T.Y. Liu, M.F. Tsai, and H. Li. Learning to rank: from pairwise approach to listwise approach. In ICML, pages 129-136, 2007.
    • (2007) ICML , pp. 129-136
    • Cao, Z.1    Qin, T.2    Liu, T.Y.3    Tsai, M.F.4    Li, H.5
  • 12
    • 84858775754 scopus 로고    scopus 로고
    • Empirical performance maximization for linear rank statistics
    • D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors
    • Stéphan J.M. Clémençon and Nicolas Vayatis. Empirical performance maximization for linear rank statistics. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors, Advances in Neural Information Processing Systems 21, pages 305-312. 2009.
    • (2009) Advances in Neural Information Processing Systems 21 , pp. 305-312
    • Clémençon, S.J.M.1    Vayatis, N.2
  • 13
    • 51049098491 scopus 로고    scopus 로고
    • Ranking and empirical minimization of U-statistics
    • S. Clemençon, G. Lugosi, and N. Vayatis. Ranking and empirical minimization of U-statistics. The Annals of Statistics, 36(2): 844-874, 2008.
    • (2008) The Annals of Statistics , vol.36 , Issue.2 , pp. 844-874
    • Clemençon, S.1    Lugosi, G.2    Vayatis, N.3
  • 14
    • 55349114379 scopus 로고    scopus 로고
    • Statistical analysis of bayes optimal subset ranking
    • IEEE Transactions on
    • D. Cossock and T. Zhang. Statistical analysis of bayes optimal subset ranking. Information Theory, IEEE Transactions on, 54(11): 5140-5154, 2008.
    • (2008) Information Theory , vol.54 , Issue.11 , pp. 5140-5154
    • Cossock, D.1    Zhang, T.2
  • 25
    • 0002282074 scopus 로고
    • A new measure of rank correlation
    • M.G. Kendall. A new measure of rank correlation. Biometrika, 30(1/2): 81-93, 1938.
    • (1938) Biometrika , vol.30 , Issue.1-2 , pp. 81-93
    • Kendall, M.G.1
  • 28
    • 70450239631 scopus 로고    scopus 로고
    • The p-norm push: A simple convex ranking algorithm that concentrates at the top of the list
    • C. Rudin. The p-norm push: A simple convex ranking algorithm that concentrates at the top of the list. The Journal of Machine Learning Research, 10: 2233-2271, 2009.
    • (2009) The Journal of Machine Learning Research , vol.10 , pp. 2233-2271
    • Rudin, C.1
  • 30
    • 0004197424 scopus 로고
    • Interscience Publishers Inc., New York
    • G. Sansone. Orthogonal Functions. Interscience Publishers Inc., New York, 1959.
    • (1959) Orthogonal Functions
    • Sansone, G.1
  • 31
    • 34249062309 scopus 로고    scopus 로고
    • On the consistency of multiclass classification methods
    • A. Tewari and P.L. Bartlett. On the consistency of multiclass classification methods. Journal of Machine Learning Research, 8: 1007-1025, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1007-1025
    • Tewari, A.1    Bartlett, P.L.2
  • 37
    • 4644257995 scopus 로고    scopus 로고
    • Statistical behavior and consistency of classification methods based on convex risk minimization
    • T. Zhang. Statistical behavior and consistency of classification methods based on convex risk minimization. Annals of Statistics, pages 56-85, 2004a.
    • (2004) Annals of Statistics , pp. 56-85
    • Zhang, T.1
  • 38
    • 26944483874 scopus 로고    scopus 로고
    • Statistical analysis of some multi-category large margin classification methods
    • T. Zhang. Statistical analysis of some multi-category large margin classification methods. The Journal of Machine Learning Research, 5: 1225-1251, 2004b.
    • (2004) The Journal of Machine Learning Research , vol.5 , pp. 1225-1251
    • Zhang, T.1


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