An Effective Recommendation Model Based on Communities and Trust Network

Recommendation technology has experienced its great popularity for resource recommendation in web-based social networks. This paper proposed an effective recommendation model based on communities and trust network (CTNRM). In the proposed model, the neighbors of the recommended user are selected from the users in the same community with the recommended user, the users in the recommended user´s circle of friends and the users in the recommended user´s trusted community. Experiments on the Epinions dataset demonstrate the feasibility and effectiveness of CTNRM. The experimental results validate the effectiveness of our proposed recommendation model for improving the precision and rating coverage especially for inactive users.