Social Recommendation Algorithm Integrating Trust Propagation and Singular Value Decomposition
Aiming at the data sparsity of user trust matrix,this paper designs a propagation rule for trust relationships among users.It computes the trust degree of user according to the rule,and then uses the trust degree to fill the user trust matrix.It proposes a social recommendation algorithm based on users' trust propagation algorithm and Singular Value Decomposition(SVD)model,The user scoring matrix is combined with the trust relation matrix to improve The prediction accuracy of the recommended system.Experimental results on both Epinions and Filmtrust publicly available datasets show that compared with the traditional recommendation algorithm,the proposed algorithm has higher recommendation quality.
recommendation systemsocial recommendationtrust networktrust propagationSingular Value Decomposition(SVD)
国家科技期刊平台
NSTL
万方数据
维普
