An effective recommender system by unifying user and item trust information for B2B applications

Title
An effective recommender system by unifying user and item trust information for B2B applications
Authors
Keywords
Recommender systems, Collaborative filtering, Trust filtering, Hybrid, Data sparsity, Cold-start
Journal
JOURNAL OF COMPUTER AND SYSTEM SCIENCES
Volume 81, Issue 7, Pages 1110-1126
Publisher
Elsevier BV
Online
2015-01-29
DOI
10.1016/j.jcss.2014.12.029

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