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Volumn , Issue , 2005, Pages 1839-1844

A collaborative filtering algorithm embedded BP network to ameliorate sparsity issue

Author keywords

Algorithm; Backpropagation neural network; Collaborative filtering; Data mining; Electronic commerce; Recommender system

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; DATA MINING; ELECTRONIC COMMERCE; NEURAL NETWORKS;

EID: 28444452587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 7
    • 0348143544 scopus 로고    scopus 로고
    • A collaborative filetering recommendation algorithm based on item rating prediction
    • A L Deng, Y Y Zhu, B L Shi. A collaborative filetering recommendation algorithm based on item rating prediction(In Chinese). Journal of Software. 2003, 14(9):1621-1628.
    • (2003) Journal of Software , vol.14 , Issue.9 , pp. 1621-1628
    • Deng, A.L.1    Zhu, Y.Y.2    Shi, B.L.3
  • 10
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • K Goldberg, T Roeder, D Gupta, C Perkins. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval, 2001, 4(1):133-151.
    • (2001) Information Retrieval , vol.4 , Issue.1 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
  • 12
    • 0036698509 scopus 로고    scopus 로고
    • Algorithm design for personalization recommendation systems
    • In Chinese
    • L Zhao, N J Hu, S Z Zhang. Algorithm design for personalization recommendation systems.Journal of computer research and development.2002,39(8): 986-991 (In Chinese).
    • (2002) Journal of Computer Research and Development , vol.39 , Issue.8 , pp. 986-991
    • Zhao, L.1    Hu, N.J.2    Zhang, S.Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.