A Recommendation Method Based on User Trust Network
Zhou Cha · Beijing Youdian Xueyuan xuebao · 2014
To solve the problem of low recommendation precision and data sparsity in recommendation,a recommendation method based on user trust network was proposed. A weighted user trust network was constructed as well based on basic social network,including the trust relationship,the influence of user role,the similarity of user attribute and similarity of user preferences. Based on the trust network,a key path discovery algorithm was proposed to find user trust network within constrains,which is further utilized for recommendation. The comparison experiments were conducted on Filmtipset dataset. A comparative analysis was made aimed at factors that influence the quality of recommendation. It was shown that the method based on user trust network can achieve better recommendation.