A data-intensive approach for discovering user similarities in social behavioral interactions based on the bayesian network

Neurocomputing

Volumn 219, Issue , 2017, Pages 364-375

  Yue, Kun ^a   Wu, Hao ^a   Fu, Xiaodong ^b   Xu, Juan ^a   Yin, Zidu ^a   Liu, Weiyi ^a  

^a YUNNAN UNIVERSITY   (China)

^b KUNMING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Bayesian network; MapReduce; Probabilistic inference; Social behavioral interactions; User similarity

Indexed keywords

BAYESIAN NETWORKS; FILE ORGANIZATION;

BEHAVIORAL INTERACTIONS; DISTRIBUTED FILE SYSTEMS; MAP-REDUCE; PROBABILISTIC GRAPHICAL MODELS; PROBABILISTIC INFERENCE; PRODUCT RECOMMENDATION; RELATIONSHIP EVOLUTIONS; USER SIMILARITY;

BEHAVIORAL RESEARCH;

ALGORITHM; ARTICLE; COMPUTER GRAPHICS; DATA PROCESSING; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROBABILITY; SOCIAL BEHAVIOR; SOCIAL INTERACTION; USER BAYESIAN NETWORK; USER SIMILARITY;

EID: 84998679620     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2016.09.042     Document Type: Article

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