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Volumn , Issue , 2001, Pages 9-15

Effective Personalization Based on Association Rule Discovery from Web Usage Data

Author keywords

Association Rules; Collaborative Filtering; Personalization; Web Usage Mining

Indexed keywords

ALGORITHMS; COMPUTER SUPPORTED COOPERATIVE WORK; WORLD WIDE WEB;

EID: 0141953855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502932.502935     Document Type: Conference Paper
Times cited : (352)

References (20)
  • 5
    • 0006765969 scopus 로고    scopus 로고
    • Selective Markov models for predicting Web-page accesses
    • University of Minessota
    • M. Deshpande and G. Karypis. Selective Markov models for predicting Web-page accesses. Technical Report #00-056. University of Minessota, 2000.
    • (2000) Technical Report #00-056
    • Deshpande, M.1    Karypis, G.2
  • 10
  • 16
    • 0002000090 scopus 로고    scopus 로고
    • Web usage mining: Discovery and applications of usage patterns from Web data
    • J. Srivastava, R. Cooley, M. Deshpande, P-T. Tan. Web usage mining: discovery and applications of usage patterns from Web data. SIGKDD Explorations, (1) 2, 2000.
    • (2000) SIGKDD Explorations , vol.1 , Issue.2
    • Srivastava, J.1    Cooley, R.2    Deshpande, M.3    Tan, P.-T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.