A recommendation algorithm using positive and negative latent models

IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining

Volumn , Issue , 2011, Pages 72-79

  Takasu, Atsuhiro ^a   Maneeroj, Saranya ^b  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

^b CHULALONGKORN UNIVERSITY   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT INFORMATION; FEATURE SPACE; GIBBS SAMPLING; HELP SYSTEMS; LATENT DIRICHLET ALLOCATION; LATENT MODELS; MULTI-ATTRIBUTED RECORDS; PROBABILISTIC MODELS; RECOMMENDATION ACCURACY; RECOMMENDATION ALGORITHMS; USER MODELS; USER RATING;

ARTIFICIAL INTELLIGENCE; CONTENT BASED RETRIEVAL; DATA MINING; INDEXING (OF INFORMATION); MOTION PICTURES; QUALITY OF SERVICE; RECOMMENDER SYSTEMS;

ALGORITHMS;

EID: 79961204820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2011.5949455     Document Type: Conference Paper

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