메뉴 건너뛰기




Volumn , Issue , 2011, Pages 65-69

Matrix co-factorization for recommendation with rich side information and implicit feedback

Author keywords

Implicit feedback; Matrix co factorization; Rich side information

Indexed keywords

EXPLICIT RATINGS; IMPLICIT FEEDBACK; INFORMATION MATRIX; LEISURE ACTIVITIES; MATRIX; MATRIX FACTORIZATIONS; RECOMMENDATION PERFORMANCE; RELATED MATRICES; SCIENTIFIC COMMUNITY; SHARING INFORMATION; SIDE INFORMATION; USER INFORMATION;

EID: 81455139571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2039320.2039330     Document Type: Conference Paper
Times cited : (87)

References (12)
  • 1
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, collaborative recommendation
    • M. Balabanović and Y. Shoham. Fab: content-based, collaborative recommendation. Communications of the ACM, 40(3):66-72, 1997.
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanović, M.1    Shoham, Y.2
  • 2
    • 84976668719 scopus 로고
    • Using collaborative filtering to weave an information tapestry
    • D. Goldberg, D. Nichols, B. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Communications of the ACM, 35(12):61-70, 1992.
    • (1992) Communications of the ACM , vol.35 , Issue.12 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.3    Terry, D.4
  • 5
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. Computer, 42(8):30-37, 2009.
    • (2009) Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 8
    • 72249096675 scopus 로고    scopus 로고
    • Recommending new movies: Even a few ratings are more valuable than metadata
    • ACM
    • I. Pilászy and D. Tikk. Recommending new movies: even a few ratings are more valuable than metadata. In 3rd ACM conference on Recommender systems, pages 93-100. ACM, 2009.
    • (2009) 3rd ACM Conference on Recommender Systems , pp. 93-100
    • Pilászy, I.1    Tikk, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.