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Volumn , Issue , 2011, Pages 221-228

Multi-value probabilistic matrix factorization for IP-TV recommendations

Author keywords

recommender systems

Indexed keywords

COLLABORATIVE FILTERING; IMPLICIT FEEDBACK; MATRIX ELEMENTS; MATRIX FACTORIZATIONS; MULTI-VALUE; OBSERVED DATA; SELECTION BIAS; VIRTUAL DATA;

EID: 82555195660     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2043932.2043972     Document Type: Conference Paper
Times cited : (18)

References (19)
  • 3
    • 82555168975 scopus 로고    scopus 로고
    • BARB: Broadcaster Audience Research Board. http://www.barb.co.uk.
  • 13
    • 57949113756 scopus 로고    scopus 로고
    • Improving regularized singular value decomposition for collaborative filtering
    • A. Paterek. Improving regularized singular value decomposition for collaborative filtering. In KDDCup, 2007.
    • (2007) KDDCup
    • Paterek, A.1
  • 14
    • 78649966572 scopus 로고    scopus 로고
    • Fast ALS-based matrix factorization for explicit and implicit feedback datasets
    • I. Pilaszy, D. Zibriczky, and D. Tikk. Fast ALS-based matrix factorization for explicit and implicit feedback datasets. In ACM Conference on Recommender Systems, pages 71-8, 2010.
    • (2010) ACM Conference on Recommender Systems , pp. 71-78
    • Pilaszy, I.1    Zibriczky, D.2    Tikk, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.