A Trusted Recommendation Method Based on Social Circles

Abstract

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.