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Volumn 23, Issue 4, 2014, Pages 712-717

Combining user-based and item-based models for collaborative filtering using stacked regression

Author keywords

Collaborative filtering; Item based; Model combination; Recommender systems; User based

Indexed keywords

LEARNING SYSTEMS; RECOMMENDER SYSTEMS;

EID: 84907551143     PISSN: 10224653     EISSN: 20755597     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (11)

References (16)
  • 7
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • L. Breiman, "Stacked regressions", Machine Learning, Vol.24, No.1, pp.49-64, 1996.
    • (1996) Machine Learning , vol.24 , Issue.1 , pp. 49-64
    • Breiman, L.1
  • 10
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • T. Hofmann, "Latent semantic models for collaborative filtering", ACM Transactions on Information System, Vol.22, No.1, pp.89-115, 2004.
    • (2004) ACM Transactions on Information System , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.