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Volumn , Issue , 2003, Pages

A maximum entropy approach to collaborative filtering in dynamic, sparse, high-dimensional domains

Author keywords

[No Author keywords available]

Indexed keywords

A-PRIORI PROBABILITIES; CLUSTER BOUNDARIES; COMPETING ALGORITHMS; DIMENSIONALITY REDUCTION; HIGH-DIMENSIONAL; MAXIMUM-ENTROPY APPROACHES; ONLINE REPOSITORIES; USER ACCESS PATTERNS;

EID: 84898943975     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (44)

References (16)
  • 1
    • 0002051628 scopus 로고    scopus 로고
    • Empirical analysis of predictive algorithms for collaborative filtering
    • San Francisco, CA: Morgan Kaufmann Publishers
    • J. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of UAI-1998, pages 43-52. San Francisco, CA: Morgan Kaufmann Publishers, 1998.
    • (1998) Proceedings of UAI-1998 , pp. 43-52
    • Breese, J.1    Heckerman, D.2    Kadie, C.3
  • 8
    • 0032640910 scopus 로고    scopus 로고
    • Digital libraries and autonomous citation indexing
    • S. Lawrence, C. L. Giles, and K. Bollacker. Digital libraries and Autonomous Citation Indexing. IEEE Computer, 32(6): 67-71, 1999.
    • (1999) IEEE Computer , vol.32 , Issue.6 , pp. 67-71
    • Lawrence, S.1    Giles, C.L.2    Bollacker, K.3
  • 9
    • 24744464176 scopus 로고    scopus 로고
    • A maximum entropy approach to collaborative filtering in dynamic, sparse, high-dimensional domains
    • D. Pavlov and D. Pennock. A maximum entropy approach to collaborative filtering in dynamic, sparse, high-dimensional domains. Technical Report NECI TR, NEC Research Institute, 2002.
    • (2002) Technical Report NECI TR, NEC Research Institute
    • Pavlov, D.1    Pennock, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.