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Volumn , Issue SPEC. ISS., 2003, Pages 259-266

Collaborative Filtering via Gaussian Probabilistic Latent Semantic Analysis

Author keywords

Collaborative filtering; Data mining; Machine learning; Recommender systems

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; DATA MINING; DATA REDUCTION; DATABASE SYSTEMS; ESTIMATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBABILITY DISTRIBUTIONS; SEMANTICS; SET THEORY;

EID: 1542377533     PISSN: 01635840     EISSN: None     Source Type: Journal    
DOI: 10.1145/860435.860483     Document Type: Conference Paper
Times cited : (352)

References (16)
  • 1
    • 84976668719 scopus 로고
    • Using collaborative filtering to weave an information tapestry
    • D. Goldberg, D. Nichols, B.M. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Communications of the ACM, 35(12):61-70, 1992.
    • (1992) Communications of the ACM , vol.35 , Issue.12 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.M.3    Terry, D.4
  • 7
    • 0000746402 scopus 로고    scopus 로고
    • Recommendation as classification: Using social and content-based information in recommendation
    • C. Basu, H. Hirsh, and W. Cohen. Recommendation as classification: Using social and content-based information in recommendation. In Recommender System Workshop, pages 11-15, 1998.
    • (1998) Recommender System Workshop , pp. 11-15
    • Basu, C.1    Hirsh, H.2    Cohen, W.3
  • 10
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning Journal, 42(1):177-196, 2001.
    • (2001) Machine Learning Journal , vol.42 , Issue.1 , pp. 177-196
    • Hofmann, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.