Enhancing collaborative filtering by user interest expansion via personalized ranking

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 42, Issue 1, 2012, Pages 218-233

  Liu, Qi ^a   Chen, Enhong ^a   Xiong, Hui ^b   Ding, Chris H Q ^c   Chen, Jian ^d  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b RUTGERS UNIVERSITY   (United States)

^c The University of Texas at Arlington   (United States)

^d Tsinghua University   (China)

Author keywords

Collaborative filtering; latent Dirichlet allocation (LDA); personalized ranking; recommender systems; topic model

Indexed keywords

BENCHMARK DATA; COLD START PROBLEMS; COLLABORATIVE FILTERING; COMPUTATION COSTS; LATENT DIRICHLET ALLOCATION (LDA); OVERSPECIALIZATION; PERSONALIZED RANKING; RANKING PERFORMANCE; REPRESENTATION SCHEMES; STATE-OF-THE-ART METHODS; THREE-LAYER; TOPIC MODEL; USER BEHAVIORS; USER INTERESTS;

BENCHMARKING; RECOMMENDER SYSTEMS; STATISTICS;

BEHAVIORAL RESEARCH;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; METHODOLOGY; SIGNAL PROCESSING; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84856254249     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2011.2163711     Document Type: Article

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