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Information Filtering via Biased Random Walk on Coupled Social Network
Joint Authors
Sun, Chongjing
Fu, Yan
Nie, Da-Cheng
Dong, Qiang
Zhang, Zi-Ke
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The recommender systems have advanced a great deal in the past two decades.
However, most researchers focus their attentions on mining the similarities among users or objects in recommender systems and overlook the social influence which plays an important role in users’ purchase process.
In this paper, we design a biased random walk algorithm on coupled social networks which gives recommendation results based on both social interests and users’ preference.
Numerical analyses on two real data sets, Epinions and Friendfeed, demonstrate the improvement of recommendation performance by taking social interests into account, and experimental results show that our algorithm can alleviate the user cold-start problem more effectively compared with the mass diffusion and user-based collaborative filtering methods.
American Psychological Association (APA)
Nie, Da-Cheng& Zhang, Zi-Ke& Dong, Qiang& Sun, Chongjing& Fu, Yan. 2014. Information Filtering via Biased Random Walk on Coupled Social Network. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051233
Modern Language Association (MLA)
Nie, Da-Cheng…[et al.]. Information Filtering via Biased Random Walk on Coupled Social Network. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1051233
American Medical Association (AMA)
Nie, Da-Cheng& Zhang, Zi-Ke& Dong, Qiang& Sun, Chongjing& Fu, Yan. Information Filtering via Biased Random Walk on Coupled Social Network. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051233
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051233