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Volumn , Issue , 2010, Pages 453-458

A hybrid web recommender system based on cellular learning automata

Author keywords

Asynchronous cellular learning automata; Web mining; Web recommendation

Indexed keywords

ACCESS HISTORY; CELLULAR LEARNING AUTOMATA; COMPLEX INFORMATION; CONTENT AND STRUCTURE; CRITICAL ISSUES; INFORMATION NEED; LEARNING AUTOMATA; RAPID GROWTH; RECOMMENDER SYSTEMS; SEMANTIC KNOWLEDGE; STRUCTURE DATA; SYSTEM USE; USAGE DATA; USER INFORMATION NEED; WEB MINING; WEB RECOMMENDATIONS; WEB USAGE; WEB-PAGE RECOMMENDER SYSTEM;

EID: 77958569245     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GrC.2010.153     Document Type: Conference Paper
Times cited : (13)

References (23)
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  • 7
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    • Dai, H.1    Mobasher, B.2
  • 8
    • 84958652227 scopus 로고    scopus 로고
    • Integrating web usage and content mining for more effective personalization
    • B. Mobasher, H. Dai, T. Luo, Y. Sun, J. Zhu, "Integrating web usage and content mining for more effective personalization, " In ECWeb, pp. 165-176, 2000.
    • (2000) ECWeb , pp. 165-176
    • Mobasher, B.1    Dai, H.2    Luo, T.3    Sun, Y.4    Zhu, J.5
  • 9
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    • Integrating web content clustering into web log association rule mining
    • Victoria, BC, Canada, May
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    • A Mathematical framework for cellular learning automata
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    • Beigy, H.1    Meybodi, M.R.2
  • 13
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    • Asynchronous cellular learning automata
    • H. Beigy, M.R. Meybodi, "Asynchronous cellular learning automata", Automatica, Vol. 44, No. 5, 2008.
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  • 14
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    • Effective web page recommendation algorithms based on distributed learning automata and weighted association rules
    • R. Forsati, M.R. Meybodi, "Effective web page recommendation algorithms based on distributed learning automata and weighted association rules, " Journal of Expert Systems with Applications, Vol. 37, No. 2, pp. 1316-1330, 2010.
    • (2010) Journal of Expert Systems with Applications , vol.37 , Issue.2 , pp. 1316-1330
    • Forsati, R.1    Meybodi, M.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.