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Volumn 7023 LNAI, Issue , 2011, Pages 423-432

A new criteria for selecting neighborhood in memory-based recommender systems

Author keywords

Collaborative Filtering; Filtering and Recommending

Indexed keywords

COLLABORATIVE FILTERING; COLLABORATIVE FILTERING ALGORITHMS; DISTANCE MEASURE; PREDICTION PROCESS; SIMILARITY CRITERIA; SIMILARITY MEASURE;

EID: 81055147931     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25274-7_43     Document Type: Conference Paper
Times cited : (9)

References (16)
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    • Deshpande, M.1    Karypis, G.2
  • 5
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    • A comprehensive survey of neighborhood-based recommendation methods
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  • 6
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    • Herlocker, J., Konstan, J.A., Riedl, J.: An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Inf. Retr. 5, 287-310 (2002)
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    • Herlocker, J.1    Konstan, J.A.2    Riedl, J.3
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    • An algorithmic framework for performing collaborative filtering
    • Herlocker, J.L., Konstan, J.A., Borchers, A., Riedl, J.: An algorithmic framework for performing collaborative filtering. In: SIGIR, pp. 230-237 (1999)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.