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Volumn 30, Issue 2, 2006, Pages 299-312

Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms

Author keywords

Citizen web portal; Clustering; Collaborative recommender; User model; Web usage mining

Indexed keywords

ALGORITHMS; DATA REDUCTION; EXPERT SYSTEMS; FUZZY SETS; OBJECT RECOGNITION; SELF ORGANIZING MAPS;

EID: 28544434311     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.07.025     Document Type: Article
Times cited : (30)

References (30)
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  • 10
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    • Evaluation of recommender algorithms for an internet information based on simple association rules and on the repeat-buying theory
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    • A hybrid recommender system combining collaborative filtering with neural networks
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  • 20
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    • A pseudo-supervised approach to improve a recommender based on collaborative filtering
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.