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Volumn 4, Issue , 2011, Pages 2650-2654

Trust-based collaborative filtering

Author keywords

Collaborative Filtering; Recommender Systems; Tastes; Trust

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE FILTERING METHODS; COMPUTATION MODEL; DATA SETS; TASTES; TRUST; TRUST METRICS; TRUST RELATIONSHIP;

EID: 80053388429     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2011.6020048     Document Type: Conference Paper
Times cited : (11)

References (21)
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    • Xu, H.L.1    Wu, X.2    Li, X.D.3    Yan, B.P.4
  • 5
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    • Amazon.com recommendations: Itemto-item collaborative filtering
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    • Linden, G.1    Smith, B.2    York, J.3
  • 6
    • 36849028128 scopus 로고    scopus 로고
    • Applying collaborative filtering techniques to movie search for better ranking and browsing
    • DOI 10.1145/1281192.1281252, KDD-2007: Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
    • S. T. Park, D. M. Pennock. Applying Collaborative Filtering Techniques to Movie Search for Better Ranking and Browsing. In: Proceedings of the 13th ACM SIGKDD International conference on Knowledge Discovery and Data Mining. New York: ACM, 2007. 550-559. (Pubitemid 350229240)
    • (2007) Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pp. 550-559
    • Park, S.-T.1    Pennock, D.M.2
  • 11
    • 24944592578 scopus 로고    scopus 로고
    • Alleviating the sparsity problem of collaborative filtering using trust inferences
    • Trust Management: Third International Conference, iTrust 2005, Proceedings
    • M. Papagelis, D. Plexousakis, and T. Kutsuras. Alleviating the Sparstity Problem of Collaborative Filtering Using Trust Inferences. In Proceedings of iTrust 2005:224-239. (Pubitemid 41313131)
    • (2005) Lecture Notes in Computer Science , vol.3477 , pp. 224-239
    • Papagelis, M.1    Plexousakis, D.2    Kutsuras, T.3
  • 14
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    • An optimized item-based collaborative filtering recommendation algorithm
    • J. Wang, J. Yin. An Optimized Item-based Collaborative Filtering Recommendation Algorithm. Journal of Chinese Computer Systems. Vol. 31, No.12, 2010.
    • Journal of Chinese Computer Systems. , vol.31 , Issue.12 , pp. 2010
    • J. Wang1    J. Yin2
  • 15
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    • Collaborative filtering recommendation based on fuzzy clustering of user preferences
    • Yantai, China, August, 10-12
    • J. Wang, N. Y. Zhang, J.Yin. Collaborative Filtering Recommendation Based on Fuzzy Clustering of User Preferences. InInternational Conference on Fuzzy Systems and knowledge Discovery, Yantai, China, August 10-12, 2010:1946-1950.
    • (2010) InInternational Conference on Fuzzy Systems and Knowledge Discovery , pp. 1946-1950
    • J. Wang1    Zhang, N.Y.2    J. Yin3
  • 21
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    • http://www.cs.umn.edu/Research/GroupLens


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.