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2009
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Social Trust-Aware Recommendation System: A T-Index Approach

9 years 3 months ago
Social Trust-Aware Recommendation System: A T-Index Approach
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between users on a social network to address the limitations of similarity measure in Collaborative Filtering algorithms. For enhancing the constructed network of users based on trust, we introduce an estimate of a user’s trustworthiness called T-index to identify and select neighbors in an effective manner. We employ T-index to store raters of an item in a so-called TopTrustee list which provides information about users who might not be accessible within a predefined maximum path length. An empirical evaluation shows that our solution improves both prediction accuracy and coverage of recommendations collected along few edges that connect users on a social network by exploiting T-index. We also analyze effect of T-index on structure of trust network to justify the results.
Alireza Zarghami, Soude Fazeli, Nima Dokoohaki, Mi
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where IAT
Authors Alireza Zarghami, Soude Fazeli, Nima Dokoohaki, Mihhail Matskin
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