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Volumn , Issue , 2003, Pages 1-10

Convergent algorithms for collaborative filtering

Author keywords

Clustering; Collaborative filtering; Latent class models; Mixture model

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; INFORMATION ANALYSIS; INFORMATION RETRIEVAL SYSTEMS; MATHEMATICAL MODELS;

EID: 0242456240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/779928.779929     Document Type: Conference Paper
Times cited : (41)

References (21)
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  • 7
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    • Each Movie collaborative filtering data set
    • Each Movie collaborative filtering data set, at http://www.research.compaq.com/SRC/eachmovie/
  • 9
    • 77954724530 scopus 로고    scopus 로고
    • Using probabilistic relational models for collaborative filtering
    • L. Getoor, M. Sahami, "Using Probabilistic Relational Models for Collaborative Filtering," WebKDD'99, 1999.
    • WebKDD'99, 1999
    • Getoor, L.1    Sahami, M.2
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  • 18
    • 0031104254 scopus 로고    scopus 로고
    • Recommender systems
    • Introduction to special issue on recommender systems
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    • (1997) Communications of the ACM , vol.40 , pp. 56-58
    • Resnick, P.1    Varian, H.2
  • 20
    • 0242466963 scopus 로고    scopus 로고
    • ACM SIGGROUP, Resources on Collaborative Filtering
    • ACM SIGGROUP, Resources on Collaborative Filtering, at http://www.acm.org/siggroup/collab.html.
  • 21
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    • July; special issue on privacy
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.