Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems

Knowledge-Based Systems

Volumn 74, Issue , 2015, Pages 14-27

  Guo, Guibing ^a   Zhang, Jie ^a   Yorke Smith, Neil ^b,c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b AMERICAN UNIVERSITY OF BEIRUT   (Lebanon)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Cold start; Collaborative filtering; Multiview clustering; Recommender systems; Similarity; Trust

Indexed keywords

COLLABORATIVE FILTERING; DISTRIBUTED COMPUTER SYSTEMS; FORECASTING; ITERATIVE METHODS; REGRESSION ANALYSIS; VIRTUAL REALITY;

COLD START; LARGE SCALE DATA SETS; MULTI-VIEW CLUSTERING; PROBABILISTIC METHODS; SIMILARITY; SUPPORT VECTOR REGRESSION MODELS; TRUST; TRUST RELATIONSHIP;

RECOMMENDER SYSTEMS;

EID: 84926252210     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2014.10.016     Document Type: Article

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