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Volumn 1, Issue , 2007, Pages 212-216

Assessing the value of unrated items in collaborative filtering

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION MANAGEMENT;

EID: 50149102434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDIM.2007.4444225     Document Type: Conference Paper
Times cited : (3)

References (20)
  • 2
    • 14344253490 scopus 로고    scopus 로고
    • J. Basilico and T. Hofmann. Unifying collaborative and content-based filtering. In Proc. Int. Conf. on Machine learning, page 9. ACM Press, 2004.
    • J. Basilico and T. Hofmann. Unifying collaborative and content-based filtering. In Proc. Int. Conf. on Machine learning, page 9. ACM Press, 2004.
  • 4
    • 70450199437 scopus 로고    scopus 로고
    • Recommendation algorithm combining the user-based classified regression and the item-based filtering
    • Y. Chuan, X. Jieping, and D. Xiaoyong. Recommendation algorithm combining the user-based classified regression and the item-based filtering. In Proc. Int. Conf. on Electronic Commerce, pages 574-578, 2006.
    • (2006) Proc. Int. Conf. on Electronic Commerce , pp. 574-578
    • Chuan, Y.1    Jieping, X.2    Xiaoyong, D.3
  • 9
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • T. Hofmann. Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst., 22(1):89-115, 2004.
    • (2004) ACM Trans. Inf. Syst , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 11
    • 80051531169 scopus 로고    scopus 로고
    • Why does collaborative filtering work? - recommendation model validation and selection by analyzing bipartite random graphs
    • Z. Huang and D. D. Zeng. Why does collaborative filtering work? - recommendation model validation and selection by analyzing bipartite random graphs. In Proc. Workshop of Information Technologies and Systems, 2005.
    • (2005) Proc. Workshop of Information Technologies and Systems
    • Huang, Z.1    Zeng, D.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.