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Volumn , Issue , 2011, Pages 73-74

Smart news feeds for social networks using scalable joint latent factor models

Author keywords

latent factor models; news feeds; social media

Indexed keywords

DATA SETS; FACEBOOK; INFORMATION FILTERING; INFORMATION NEED; LATENT FACTOR; NEWS FEEDS; SOCIAL MEDIA; SOCIAL NETWORKS; SPECIFIC INFORMATION; TEXT CONTENT;

EID: 79955163254     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1963192.1963230     Document Type: Conference Paper
Times cited : (5)

References (5)
  • 1
    • 36849023117 scopus 로고    scopus 로고
    • Predictive discrete latent factor models for large scale dyadic data
    • D. Agarwal and S. Merugu. Predictive discrete latent factor models for large scale dyadic data. In KDD, pages 26-35, 2007.
    • (2007) KDD , pp. 26-35
    • Agarwal, D.1    Merugu, S.2
  • 2
    • 0141607824 scopus 로고    scopus 로고
    • Latent dirichlet allocation
    • D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. JMLR, 3:993-1022, 2003.
    • (2003) JMLR , vol.3 , pp. 993-1022
    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 3
    • 35348914807 scopus 로고    scopus 로고
    • Google news personalization: Scalable online collaborative filtering
    • A. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: scalable online collaborative filtering. In WWW, pages 271-280, 2007.
    • (2007) WWW , pp. 271-280
    • Das, A.1    Datar, M.2    Garg, A.3    Rajaram, S.4
  • 4
    • 84890724114 scopus 로고    scopus 로고
    • Characterizing microblogs with topic models
    • D. Ramage, S. T. Dumais, and D. J. Liebling. Characterizing microblogs with topic models. In ICWSM, 2010.
    • (2010) ICWSM
    • Ramage, D.1    Dumais, S.T.2    Liebling, D.J.3
  • 5
    • 77956217647 scopus 로고    scopus 로고
    • On the quality of inferring interests from social neighbors
    • Z. Wen and C. Lin. On the quality of inferring interests from social neighbors. In KDD, pages 373-382, 2010.
    • (2010) KDD , pp. 373-382
    • Wen, Z.1    Lin, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.