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Volumn , Issue , 2008, Pages 275-282

Adaptive collaborative filtering

Author keywords

Collaborative filtering; Structured estimation

Indexed keywords

ESTIMATION; SIGNAL FILTERING AND PREDICTION;

EID: 63449092040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1454008.1454050     Document Type: Conference Paper
Times cited : (21)

References (14)
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    • Large margin rank boundaries for ordinal regression
    • A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Cambridge, MA, MIT Press
    • R. Herbrich, T. Graepel, and K. Obermayer. Large margin rank boundaries for ordinal regression. In A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 115-132, Cambridge, MA, 2000. MIT Press.
    • (2000) Advances in Large Margin Classifiers , pp. 115-132
    • Herbrich, R.1    Graepel, T.2    Obermayer, K.3
  • 3
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    • Fast maximum margin matrix factoriazation for collaborative prediction
    • J. Rennie and N. Srebro. Fast maximum margin matrix factoriazation for collaborative prediction. In Proc. Intl. Conf. Machine Learning, 2005.
    • (2005) Proc. Intl. Conf. Machine Learning
    • Rennie, J.1    Srebro, N.2
  • 6
    • 63449099224 scopus 로고    scopus 로고
    • R. Salakhutdinov and A. Mnih. Probabilistic matrix factorization. In Advances in Neural Information Processing Systems 20, Cambridge, MA, 2008. MIT Press.
    • R. Salakhutdinov and A. Mnih. Probabilistic matrix factorization. In Advances in Neural Information Processing Systems 20, Cambridge, MA, 2008. MIT Press.
  • 9
    • 84898932317 scopus 로고    scopus 로고
    • Maximum-margin matrix factorization
    • L. K. Saul, Y. Weiss, and L. Bottou, editors, Cambridge, MA, MIT Press
    • N. Srebro, J. Rennie, and T. Jaakkola. Maximum-margin matrix factorization. In L. K. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17, Cambridge, MA, 2005. MIT Press.
    • (2005) Advances in Neural Information Processing Systems 17
    • Srebro, N.1    Rennie, J.2    Jaakkola, T.3
  • 10
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    • Rank, trace-norm and max-norm
    • P. Auer and R. Meir, editors, Proc. Annual Conf. Computational Learning Theory, number in, Springer-Verlag, June
    • N. Srebro and A. Shraibman. Rank, trace-norm and max-norm. In P. Auer and R. Meir, editors, Proc. Annual Conf. Computational Learning Theory, number 3559 in Lecture Notes in Artificial Intelligence, pages 545-560. Springer-Verlag, June 2005.
    • (2005) Lecture Notes in Artificial Intelligence , vol.3559 , pp. 545-560
    • Srebro, N.1    Shraibman, A.2
  • 12
    • 24944537843 scopus 로고    scopus 로고
    • Large margin methods for structured and interdependent output variables
    • I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. J. Mach. Learn. Res., 6:1453-1484, 2005.
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 1453-1484
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  • 13
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    • (2001) TREC
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.