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Volumn , Issue , 2015, Pages 277-280

Incremental matrix factorization via feature space re-learning for recommender system

Author keywords

Matrix factorization; Recommender systems; Sketching

Indexed keywords

FACTORIZATION; RECOMMENDER SYSTEMS;

EID: 84962878598     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2792838.2799668     Document Type: Conference Paper
Times cited : (20)

References (8)
  • 1
    • 33645673972 scopus 로고    scopus 로고
    • Fast online SVD revisions for lightweight recommender systems
    • SIAM
    • M. Brand. Fast online svd revisions for lightweight recommender systems. In SDM, pages 37-46. SIAM, 2003.
    • (2003) SDM , pp. 37-46
    • Brand, M.1
  • 2
    • 84860408880 scopus 로고    scopus 로고
    • Incremental learning for dynamic collaborative filtering
    • S. Han, Y. Yang, and W. Liu. Incremental learning for dynamic collaborative filtering. Journal of Software, 6(6):969-976, 2011.
    • (2011) Journal of Software , vol.6 , Issue.6 , pp. 969-976
    • Han, S.1    Yang, Y.2    Liu, W.3
  • 3
    • 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, (8):30-37, 2009.
    • (2009) Computer , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 6
    • 63449105336 scopus 로고    scopus 로고
    • Online-updating regularized kernel matrix factorization models for large-scale recommender systems
    • ACM
    • S. Rendle and L. Schmidt-Thieme. Online-updating regularized kernel matrix factorization models for large-scale recommender systems. In Proceedings of the 2008 ACM conference on Recommender systems, pages 251-258. ACM, 2008.
    • (2008) Proceedings of the 2008 ACM Conference on Recommender Systems , pp. 251-258
    • Rendle, S.1    Schmidt-Thieme, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.