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Volumn 2663, Issue , 2003, Pages 46-53

Collaborative filtering using interval estimation näive Bayes

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA PROCESSING; PROGRAM DOCUMENTATION; FILTRATION; INFORMATION RETRIEVAL SYSTEMS;

EID: 7044254611     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-44831-4_6     Document Type: Conference Paper
Times cited : (12)

References (17)
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    • Idiot's Bayes-not so stupid after all?
    • D.J. Hand and K. Yu. Idiot's Bayes-not so stupid after all? International Statistical Review, 69(3):385-398, 2001.
    • (2001) International Statistical Review , vol.69 , Issue.3 , pp. 385-398
    • Hand, D.J.1    Yu, K.2
  • 6
    • 0002000090 scopus 로고    scopus 로고
    • Web usage mining: Discovery and applications of usage patterns from web data
    • M. Deshpande J. Srivastava, R. Cooley and P. Tan. Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations, 1:12-23, 2000.
    • (2000) SIGKDD Explorations , vol.1 , pp. 12-23
    • Deshpande, J.1    Srivastava, M.2    Cooley, R.3    Tan, P.4
  • 7
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • R. Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In IJCAI, pages 1137-1145, 1995.
    • (1995) IJCAI , pp. 1137-1145
    • Kohavi, R.1
  • 11
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • H. Mühlenbein. The equation for response to selection and its use for prediction. Evolutionary Computation, 5:303-346, 1998.
    • (1998) Evolutionary Computation , vol.5 , pp. 303-346
    • Mühlenbein, H.1
  • 14
    • 0031168547 scopus 로고    scopus 로고
    • Learning and revising user profiles: The identification of interesting web sites
    • M. Pazzani and D. Billsus. Learning and revising user profiles: The identification of interesting web sites. Machine Learning, 27:313-331, 1997.
    • (1997) Machine Learning , vol.27 , pp. 313-331
    • Pazzani, M.1    Billsus, D.2
  • 15
    • 0012253296 scopus 로고    scopus 로고
    • Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments
    • Seattle, Washington, August 2-5
    • A. Popescul, L. Ungar, D. Pennock, and S. Lawrence. Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments. In 17th Conference on Uncertainty in Artificial Intelligence, pages 437-444, Seattle, Washington, August 2-5 2001.
    • (2001) 17th Conference on Uncertainty in Artificial Intelligence , pp. 437-444
    • Popescul, A.1    Ungar, L.2    Pennock, D.3    Lawrence, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.