Trust SVD Algorithm Based on Double Trust Mechanism
Ya Tian · Jisuanji kexue yu tansuo · 2015
To resolve the problems of data sparsity and cold-start of the collaborative filtering algorithms in recommender systems,the trust information has being introduced to recommender systems,it can effectively alleviate these problems above by adding the users' explicit trust information.But the explicit trust information is more difficult to obtain or sparse,in order to better improve the efficiency of recommendation,in the basis of Trust SVD algorithm based on explicit trust,this paper introduces the implicit trust information,and proposes a singular value decomposition(SVD) algorithm based on double trust mechanism,named EITrust SVD.At the same time of getting a reliable recommendation by using the explicit trust,the EITrust SVD algorithm gets a recommendation related to user performance through implicit trust.The experimental results show that the proposed algorithm is a better solution to the problem of cold-start,and has a better recommendation accuracy.