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Volumn 4, Issue January, 2014, Pages 3176-3184

Content-based recommendations with Poisson factorization

Author keywords

[No Author keywords available]

Indexed keywords

FACTORIZATION; INFORMATION SCIENCE; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EID: 84937961755     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (181)

References (22)
  • 6
    • 21644435901 scopus 로고    scopus 로고
    • Bayesian latent variable models for mixed discrete outcomes
    • D. B Dunson and A. H. Herring. Bayesian latent variable models for mixed discrete outcomes. Biostatistics, 6(1): 11-25, 2005.
    • (2005) Biostatistics , vol.6 , Issue.1 , pp. 11-25
    • Dunson, D.B.1    Herring, A.H.2
  • 8
    • 84898934543 scopus 로고    scopus 로고
    • Variational inference for Bayesian mixtures of factor analysers
    • Z. Ghahramani and M. Beal. Variational inference for Bayesian mixtures of factor analysers. In Neural Information Processing Systems, Volume 12, 2000.
    • (2000) Neural Information Processing Systems , vol.12
    • Ghahramani, Z.1    Beal, M.2
  • 15
    • 0033225865 scopus 로고    scopus 로고
    • Introduction to variational methods for graphical models
    • M. Jordan, Z. Ghahramani, T. Jaakkola, and L. Saul. Introduction to variational methods for graphical models. Machine Learning, 37: 183-233, 1999.
    • (1999) Machine Learning , vol.37 , pp. 183-233
    • Jordan, M.1    Ghahramani, Z.2    Jaakkola, T.3    Saul, L.4
  • 18
    • 79951750366 scopus 로고    scopus 로고
    • Generalized probabilistic matrix factorizations for collaborative filtering
    • 2010 IEEE 10th International Conference on IEEE
    • H. Shan and A. Banerjee. Generalized probabilistic matrix factorizations for collaborative filtering. In Data Mining (ICDM), 2010 IEEE 10th International Conference on, pages 1025-1030. IEEE, 2010.
    • (2010) Data Mining (ICDM) , pp. 1025-1030
    • Shan, H.1    Banerjee, A.2
  • 20
    • 80052666619 scopus 로고    scopus 로고
    • Collaborative topic modeling for recommending scientific articles
    • C. Wang and D. Blei. Collaborative topic modeling for recommending scientific articles. In Knowledge Discovery and Data Mining, 2011.
    • (2011) Knowledge Discovery and Data Mining
    • Wang, C.1    Blei, D.2
  • 22
    • 84877756924 scopus 로고    scopus 로고
    • Joint modeling of a matrix with associated text via latent binary features
    • X. Zhang and L. Carin. Joint modeling of a matrix with associated text via latent binary features. In Advances in Neural Information Processing Systems, pages 1556-1564, 2012.
    • (2012) Advances in Neural Information Processing Systems , pp. 1556-1564
    • Zhang, X.1    Carin, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.