Prior ratings: A new information source for recommender systems in e-commerce

RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems

Volumn , Issue , 2013, Pages 383-386

  Guo, Guibing ^a   Zhang, Jie ^a   Thalmann, Daniel ^a   Yorke Smith, Neil ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b AMERICAN UNIVERSITY OF BEIRUT   (Lebanon)

Author keywords

Cold start; Data sparsity; Prior ratings; Recommender systems; User study; Virtual product

Indexed keywords

COLD START; COLD START PROBLEMS; DATA SPARSITY; ENVIRONMENTAL FACTORS; INFORMATION SOURCES; USER STUDY; USERS' EXPERIENCES; VIRTUAL PRODUCTS;

RECOMMENDER SYSTEMS; VIRTUAL REALITY;

ELECTRONIC COMMERCE;

EID: 84887600654     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2507157.2507200     Document Type: Conference Paper

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