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Volumn , Issue , 2012, Pages 2567-2570

A latent pairwise preference learning approach for recommendation from implicit feedback

Author keywords

implicit feedback; pairwise preferences; recommender systems

Indexed keywords

CLICKTHROUGH DATA; DIRECTLY MODEL; EXPLICIT FEEDBACK; GROUP STRUCTURE; IMPLICIT FEEDBACK; LATENT VARIABLE; PAIRWISE PREFERENCES; PREFERENCE LEARNING; RANKING PROBLEMS; RECOMMENDATION PERFORMANCE; USER FEEDBACK; USERS' INTERESTS;

EID: 84871034003     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2398693     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 4
    • 81455139571 scopus 로고    scopus 로고
    • Matrix co-factorization for recommendation with rich side information and implicit feedback
    • Y. Fang and L. Si. Matrix co-factorization for recommendation with rich side information and implicit feedback. In RecSys Workshop, pages 65-69, 2011.
    • (2011) RecSys Workshop , pp. 65-69
    • Fang, Y.1    Si, L.2
  • 5
    • 1542377533 scopus 로고    scopus 로고
    • Collaborative filtering via gaussian probabilistic latent semantic analysis
    • T. Hofmann. Collaborative filtering via gaussian probabilistic latent semantic analysis. In SIGIR, pages 259-266, 2003.
    • (2003) SIGIR , pp. 259-266
    • Hofmann, T.1
  • 6
    • 67049164166 scopus 로고    scopus 로고
    • Collaborative filtering for implicit feedback datasets
    • Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In ICDM, pages 263-272, 2008.
    • (2008) ICDM , pp. 263-272
    • Hu, Y.1    Koren, Y.2    Volinsky, C.3
  • 7
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • T. Joachims. Optimizing search engines using clickthrough data. In SIGKDD, pages 133-142, 2002.
    • (2002) SIGKDD , pp. 133-142
    • Joachims, T.1
  • 8
    • 74549184544 scopus 로고    scopus 로고
    • Probabilistic latent preference analysis for collaborative filtering
    • N. Liu, M. Zhao, and Q. Yang. Probabilistic latent preference analysis for collaborative filtering. In CIKM, pages 759-766, 2009.
    • (2009) CIKM , pp. 759-766
    • Liu, N.1    Zhao, M.2    Yang, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.