Latent interest and topic mining on user-item bipartite networks

Proceedings - 2016 IEEE International Conference on Services Computing, SCC 2016

Volumn , Issue , 2016, Pages 778-781

  Xu, Jinliang ^a   Wang, Shangguang ^a   Su, Sen ^a   Kumar, Sathish A P ^b   Wu, Chou ^c  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b Department of Public Health   (United States)

^c HUAWEI TECHNOLOGIES CO LTD   (China)

Author keywords

And efficiency; Interpretability; Latent topic and interest; Service recommendation; User item bipartite network

Indexed keywords

EFFICIENCY;

BIPARTITE NETWORK; INTERPRETABILITY; LATENT FACTOR MODELS; LATENT TOPIC AND INTEREST; MODEL DEVELOPMENT; MODEL TRAINING; SERVICE RECOMMENDATIONS; USER INTERESTS;

DATA MINING;

EID: 84989948476     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCC.2016.105     Document Type: Conference Paper

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