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Volumn 2465, Issue , 2002, Pages 471-484

Discovery of user preference through genetic algorithm and Bayesian categorization for recommendation

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; GENETIC ALGORITHMS; INFORMATION SYSTEMS; INFORMATION USE; LEARNING ALGORITHMS; MACHINE LEARNING; QUALITY OF SERVICE; SEMANTICS;

EID: 71049174971     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46140-x_36     Document Type: Conference Paper
Times cited : (5)

References (23)
  • 9
    • 0024090683 scopus 로고
    • Probabilistic and Genetic algorithms for document retrieval
    • M. Gondon, "Probabilistic and Genetic algorithms for document retrieval," Communication of the ACM, 31, pp. 1208-1218, 1988.
    • (1988) Communication of the ACM , vol.31 , pp. 1208-1218
    • Gondon, M.1
  • 12
  • 13
    • 0004109771 scopus 로고
    • PhD thesis(Technical Report pp. 91-93, Computer Science Dept., Univ. of Massachussetts at Amherst
    • D. D. Lewis, Representation and Learning in Information Retrieval, PhD thesis Technical Report pp. 91-93, Computer Science Dept., Univ. of Massachussetts at Amherst, 1992.
    • (1992) Representation and Learning in Information Retrieval
    • Lewis, D.D.1
  • 23
    • 84937503756 scopus 로고    scopus 로고
    • Introduction to Rainbow
    • Introduction to Rainbow URL:http://www.cs.cmu.edu/afs/cs/project/theo-11/www/naïvebayes.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.