چکیده مقاله
Along with the increasing popularity of social web sites, users rely more on the trustworthiness information for many online activities among users 24 However, such social network data often suffers from two problems, 1 severe data sparsity and are not able to provide users with enough information, 2 dataset’s is very large Therefore, trust prediction has emerged as an important topic in social network research In this paper we proposed a new approach by using collaborative filtering method and the concept of Pareto dominance We uses Pareto dominance to perform a pre filtering process eliminating less representative users from the k neighbour selection process while retaining the most promising ones The results from experiments performed on FilmTrust dataset and Epinions dataset
کلیدواژهها
نویسندگان
Elnaz Ghodousi
Computer Science and Engineering Dept, Shiraz University, Shiraz, Iran, M Sc student
Ali Hamzeh
Computer Science and Engineering Dept, Shiraz University, Shiraz, Iran, Ph D
شیوه ارجاع
Ghodousi, Elnaz and Hamzeh, Ali,1394,A New Approach for Trust Prediction by using collaborative filtering based of Pareto dominance in Social Networks,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
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