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Volumn 4198 LNAI, Issue , 2006, Pages 58-76

Data sparsity issues in the collaborative filtering framework

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTER SUPPORTED COOPERATIVE WORK; DATA REDUCTION; LEARNING ALGORITHMS; REGRESSION ANALYSIS;

EID: 33751405363     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11891321_4     Document Type: Conference Paper
Times cited : (55)

References (19)
  • 9
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • K. Goldberg, T. Reeder, D. Gupta, and C. Perkins. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval, (4): 133-151, 2001.
    • (2001) Information Retrieval , Issue.4 , pp. 133-151
    • Goldberg, K.1    Reeder, T.2    Gupta, D.3    Perkins, C.4
  • 12
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • T. Hofrnann. Latent semantic models for collaborative filtering. ACM Transactions on Information Systems, 22(1):89-115, 2004.
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 89-115
    • Hofrnann, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.