메뉴 건너뛰기




Volumn , Issue , 2005, Pages 446-452

Feature-based recommendation system

Author keywords

Collaborative filtering; E Commerce; Product Features; Recommender systems; Web Retailer

Indexed keywords

COLLABORATIVE FILTERING; PRODUCT FEATURES; RECOMMENDER SYSTEMS; WEB RETAILER;

EID: 33745805025     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1099554.1099683     Document Type: Conference Paper
Times cited : (54)

References (26)
  • 1
    • 0031103679 scopus 로고    scopus 로고
    • FAB: Content-based collaborative recommendation
    • March
    • M. Balabanovic and Y. Shoham. FAB: Content-based collaborative recommendation. Communications of the ACM, 40(3), March 1997.
    • (1997) Communications of the ACM , vol.40 , Issue.3
    • Balabanovic, M.1    Shoham, Y.2
  • 2
    • 0000746402 scopus 로고    scopus 로고
    • Recommendation as classification: Using social and content-based information in recommendation
    • AAAI Press
    • C. Basu, H. Hirsh, and W. Cohen. Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of the 1998 Workshop on Recommender Systems, pages 11-15. AAAI Press, 1998.
    • (1998) Proceedings of the 1998 Workshop on Recommender Systems , pp. 11-15
    • Basu, C.1    Hirsh, H.2    Cohen, W.3
  • 4
    • 0002731035 scopus 로고    scopus 로고
    • Learning collaborative information filters
    • D. Billsus and M. J. Pazzani. Learning collaborative information filters. In Proceedings of ICML, pages 46-53, 1998.
    • (1998) Proceedings of ICML , pp. 46-53
    • Billsus, D.1    Pazzani, M.J.2
  • 11
    • 0034592960 scopus 로고    scopus 로고
    • Cross-sell: A fast promotion-tunable customer-item recommendation method based on conditional independent probabilities
    • B. Kitts, D. Freed, and M. Vrieze. Cross-sell: A fast promotion-tunable customer-item recommendation method based on conditional independent probabilities. In Proceedings of ACM SIGKDD International Conference, pages 437-446, 2000.
    • (2000) Proceedings of ACM SIGKDD International Conference , pp. 437-446
    • Kitts, B.1    Freed, D.2    Vrieze, M.3
  • 14
    • 0006544679 scopus 로고    scopus 로고
    • Automatic personalization based on web usage mining
    • B. Mobasher, R. Cooley, and J. Srivastava. Automatic personalization based on web usage mining. Communications of the ACM, 43(8);142-151, 2000.
    • (2000) Communications of the ACM , vol.43 , Issue.8 , pp. 142-151
    • Mobasher, B.1    Cooley, R.2    Srivastava, J.3
  • 16
    • 0031104254 scopus 로고    scopus 로고
    • Recommender systems
    • Resnick and Varian. Recommender systems. Communications of the ACM, 40(3):56-58, 1997.
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 56-58
    • Resnick1    Varian2
  • 20
    • 85052617391 scopus 로고    scopus 로고
    • Item-based collaborative filtering recommendation algorithms
    • B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In WWW10, 2001.
    • (2001) WWW10
    • Sarwar, B.1    Karypis, G.2    Konstan, J.3    Riedl, J.4
  • 26
    • 84887367019 scopus 로고    scopus 로고
    • Criterion functions for document clustering: Experiments and analysis
    • in press
    • Y. Zhao and G. Karypis. Criterion functions for document clustering: Experiments and analysis. Machine Learning, in press, 2003.
    • (2003) Machine Learning
    • Zhao, Y.1    Karypis, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.