Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

A Trusted Recommendation Method Based on Social Circles

Authors
Chengjian Su, Genlang Chen, Guanghui Song
Corresponding Author
Chengjian Su
Available Online August 2016.
DOI
https://doi.org/10.2991/cset-16.2016.17How to use a DOI?
Keywords
Collaborative filtering, credibility, trust model, social circle, recommendation system
Abstract
The crisis of confidence has become increasingly rigorous, especially in recommendation domain. Deception and malicious attacks are found among the traditional collaborative filtering recommendation systems. Taking into account the credibility, the behaviour-based trust relationship, and the social circle-based trust relationship, this paper proposes a trusted recommendation method via social circle to enhance the credibility of recommendation. By using the social circles, which can significantly help to deal with the sparsity and trust problem of the traditional collaborative filtering, the method is aimed to solve two fundamental problems: accuracy and robustness. Empirical evaluation of the method on the dataset of last.fm demonstrates that the method can enhance the robustness without reducing the accuracy of the recommendation.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Science and Electronic Technology
Part of series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-213-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/cset-16.2016.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chengjian Su
AU  - Genlang Chen
AU  - Guanghui Song
PY  - 2016/08
DA  - 2016/08
TI  - A Trusted Recommendation Method Based on Social Circles
BT  - 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.17
DO  - https://doi.org/10.2991/cset-16.2016.17
ID  - Su2016/08
ER  -