Multi-relational matrix factorization using Bayesian personalized ranking for social network data

WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2012, Pages 173-182

  Krohn Grimberghe, Artus ^a   Drumond, Lucas ^a   Freudenthaler, Christoph ^a   Schmidt Thieme, Lars ^a  

^a UNIVERSITY OF HILDESHEIM   (Germany)

Author keywords

Cold start; Item prediction; Item recommendation; Joint factorization; Matrix factorization; Multi relational learning; Ranking; Recommender systems; Social network

Indexed keywords

COLD-START; ITEM RECOMMENDATION; MATRIX FACTORIZATION; MULTI-RELATIONAL LEARNING; RANKING; SOCIAL NETWORKS;

BEHAVIORAL RESEARCH; FACTORIZATION; FEATURE EXTRACTION; INFORMATION RETRIEVAL; RECOMMENDER SYSTEMS; SOCIAL NETWORKING (ONLINE); WORLD WIDE WEB;

DATA MINING;

EID: 84858060487     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2124295.2124317     Document Type: Conference Paper

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