메뉴 건너뛰기




Volumn , Issue , 2011, Pages 261-264

Content-boosted matrix factorization for recommender systems: Experiments with recipe recommendation

Author keywords

collaborative filtering; content similarity; matrix factorization; recipes

Indexed keywords

COLLABORATIVE FILTERING; CONTENT INFORMATION; CONTENT SIMILARITY; EXPERIMENTAL EVIDENCE; MATRIX FACTORIZATIONS; RECIPES; RECOMMENDATION ACCURACY; SIMPLE ALGORITHM;

EID: 82555191353     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2043932.2043979     Document Type: Conference Paper
Times cited : (123)

References (7)
  • 3
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Koren, Y., Bell, R., and Volinsky, C. (2009). Matrix factorization techniques for recommender systems. Computer, 42(8), 30-37.
    • (2009) Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 6
    • 0022843649 scopus 로고
    • Canonical correspondence analysis: A new eigenvector technique for multivariate direct gradient analysis
    • ter Braak, C. J. F. (1986). Canonical correspondence analysis: A new eigenvector technique for multivariate direct gradient analysis. Ecology, 67(5), 1167-1179.
    • (1986) Ecology , vol.67 , Issue.5 , pp. 1167-1179
    • Ter Braak, C.J.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.