一种基于信任度的移动用户偏好预测方法

With the development of mobile network, there is a stricter requirement for personalized service. In order to provide high quality personalized service and obtain more accurate mobile user preferences, a prediction method of mobile user preferences based on trust degree is proposed through analyzing mobile user behaviors. Firstly, a trust calculation method of mobile user which is based on logarithm function is proposed according to mobile users' communication behaviors. Then we find out the nearest neighbors of active user with the obtained trust and the similarity of the ranking to the mobile network services. Finally, experimental results show that the proposed method can obtain more accurate mobile user preferences compared with the traditional collaborative filtering as well as mitigating data sparsity to some extent.