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Volumn 3, Issue , 2009, Pages 65-68

Analyzing user actions within a Web 2.0 portal to improve a collaborative filtering recommendation system

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; IMPROVE-A; INFORMATION OVERLOADS; USER ACTION; WEB 2.0;

EID: 77953238594     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI-IAT.2009.232     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • G. Adomavicius and A. Tuzhilin. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. Knowledge and Data Engineering, IEEE Transactions on, 17(6):734-749, 2005.
    • (2005) Knowledge and Data Engineering, IEEE Transactions on , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 3
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • January
    • Greg Linden, Brent Smith, and Jeremy York. Amazon.com Recommendations: Item-to-Item Collaborative Filtering. IEEE Internet Computing, 7(1):76-80, January 2003.
    • (2003) IEEE Internet Computing , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 4
    • 2342526409 scopus 로고    scopus 로고
    • Book recommending using text categorization with extracted information
    • Madison, WI, July. AAAI
    • Raymond J. Mooney, Paul N. Bennett, and Loriene Roy. Book recommending using text categorization with extracted information. In Proceedings, AAAI-98 Workshop on Recommender Systems, pages 49-54, Madison, WI, July 1998. AAAI.
    • (1998) Proceedings, AAAI-98 Workshop on Recommender Systems , pp. 49-54
    • Mooney, R.J.1    Bennett, P.N.2    Roy, L.3
  • 5
    • 85016684697 scopus 로고    scopus 로고
    • A maximum entropy approach to collaborative filtering in dynamic, sparse, high- dimensional domains
    • MIT Press
    • Dmitry Y. Pavlov and David M. Pennock. A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High- Dimensional Domains. In In Proceedings of Neural Information Processing Systems, pages 1441-1448. MIT Press, 2002.
    • (2002) Proceedings of Neural Information Processing Systems , pp. 1441-1448
    • Pavlov, D.Y.1    Pennock, D.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.