A Trusted Recommendation Method Based on Social Circles

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 67
EP  - 72
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.17
DO  - 10.2991/cset-16.2016.17
ID  - Su2016/08
ER  -