메뉴 건너뛰기




Volumn 7121 LNAI, Issue PART 2, 2011, Pages 372-385

User graph regularized pairwise matrix factorization for item recommendation

Author keywords

Item Recommendation; Pairwise Matrix Factorization; User Graph

Indexed keywords

ALTERNATIVE METHODS; COLLABORATIVE FILTERING; DATA SETS; ITEM RECOMMENDATION; LOW-DIMENSIONAL REPRESENTATION; MATRIX FACTORIZATIONS; RANKING PERFORMANCE; USER GRAPH; USER INFORMATION;

EID: 84255191285     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25856-5_28     Document Type: Conference Paper
Times cited : (41)

References (20)
  • 6
    • 80052653159 scopus 로고    scopus 로고
    • Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
    • SIAM
    • Gu, Q., Zhou, J., Ding, C.: Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. In: Proceedings of the SIAM International Conference on Data Mining, pp. 199-210. SIAM (2010)
    • (2010) Proceedings of the SIAM International Conference on Data Mining , pp. 199-210
    • Gu, Q.1    Zhou, J.2    Ding, C.3
  • 14
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 1373-1396 (2003)
    • (2003) Neural Computation , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 16
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • Belkin, M., Niyogi, P., Sindhwani, V.: Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. The Journal of Machine Learning Research 7, 2399-2434 (2006)
    • (2006) The Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.