A survey of collaborative filtering based social recommender systems

Recommendation plays an increasingly important role in our daily lives. Recommender systems automatically suggest to a user items that might be of interest to her. Recent studies demonstrate that information from social networks can be exploited to improve accuracy of recommendations. In this paper,...

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Veröffentlicht in:	Computer communications Jg. 41; S. 1 - 10
Hauptverfasser:	Yang, Xiwang, Guo, Yang, Liu, Yong, Steck, Harald
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier B.V 15.03.2014 Elsevier
Schlagworte:	Applied sciences Collaborative filtering Computer science; control theory; systems Computer systems and distributed systems. User interface Exact sciences and technology Recommender system Social network Software Collaborative filtering Social network Recommender system Matrix factorization Recommendation
ISSN:	0140-3664, 1873-703X
Online-Zugang:	Volltext
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