A social recommendation framework based on multi-scale continuous conditional random fields

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 1247-1256

  Xin, Xin ^a   King, Irwin ^a   Deng, Hongbo ^a   Lyu, Michael R ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Collaborative filtering; Markov Chain Monte Carlo; Multi scale continuous conditional random fields; Social recommendation

Indexed keywords

COLLABORATIVE FILTERING; COMPUTING COMPLEXITY; CONDITIONAL RANDOM FIELD; EDGE FEATURES; ESTIMATION METHODS; FEATURE COMBINATION; INFERENCE PROCESS; LINEAR INTEGRATION; MARKOV CHAIN MONTE CARLO; MARKOV PROPERTY; MULTISCALES; REAL WORLD DATA; RECOMMENDATION TECHNIQUES; RECOMMENDER SYSTEMS; SOCIAL NETWORKS; STRAIGHT-FORWARD METHOD; UNIFIED APPROACH;

CONTENT BASED RETRIEVAL; FORECASTING; INFERENCE ENGINES; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHMS; MARKOV PROCESSES; SIGNAL FILTERING AND PREDICTION;

MONTE CARLO METHODS;

EID: 74549139149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646111     Document Type: Conference Paper

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