Recommendation based on latent topics and social network analysis

2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010

Volumn 1, Issue , 2010, Pages 209-213

  Yeh, Jian Hua ^a   Wu, Meng Lun ^b  

^a ALETHEIA UNIVERSITY   (Taiwan)

^b NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Bonacich power centrality; Latent dirichlet allocation; Latent topic; Recommender system; Social network

Indexed keywords

BEST ROOT MEAN SQUARE ERROR; COLLABORATIVE APPROACH; COLLABORATIVE RECOMMENDATION; CONTENT-BASED; CONTENT-BASED APPROACH; DATA MINING MODELS; DATA SETS; HYBRID MODEL; HYBRID RECOMMENDATION; LATENT DIRICHLET ALLOCATION; LEARNING TECHNIQUES; PREDICTION PERFORMANCE; RECOMMENDER SYSTEMS; SOCIAL NETWORK ANALYSIS; SOCIAL NETWORKS; TOPIC DISCOVERY; TRAINING DATASET; USER RATING;

COMPETITION; ELECTRIC NETWORK ANALYSIS; INDEXING (OF INFORMATION); LEARNING ALGORITHMS;

COMPUTER APPLICATIONS;

EID: 77952647766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCEA.2010.48     Document Type: Conference Paper

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