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Volumn , Issue , 2013, Pages 245-248

Learning to rank recommendations with the κ-order statistic loss

Author keywords

Collaborative filtering; Learning to rank; Loss functions; Matrix factorization; Stochastic gradient

Indexed keywords

CLICK THROUGH; LEARNING TO RANK; LOSS FUNCTIONS; MATRIX FACTORIZATIONS; ORDER STATISTICS; REAL-WORLD SYSTEM; STOCHASTIC GRADIENT; STOCHASTIC GRADIENT DESCENT;

EID: 84887572996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2507157.2507210     Document Type: Conference Paper
Times cited : (61)

References (11)
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  • 6
    • 71149107027 scopus 로고    scopus 로고
    • Ranking with ordered weighted pairwise classification
    • N. Usunier, D. Buffoni, and P. Gallinari. Ranking with ordered weighted pairwise classification. ICML, 2009.
    • (2009) ICML
    • Usunier, N.1    Buffoni, D.2    Gallinari, P.3
  • 7
    • 48349104603 scopus 로고    scopus 로고
    • Cofirank-maximum margin matrix factorization for collaborative ranking
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    • Wsabie: Scaling up to large vocabulary image annotation
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  • 10
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    • Listwise approach to learning to rank: Theory and algorithm
    • F. Xia, T.-Y. Liu, J. Wang, W. Zhang, and H. Li. Listwise approach to learning to rank: theory and algorithm. In ICML, 2008.
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  • 11
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    • A support vector method for optimizing average precision
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.