DOI: 10.3724/SP.J.1146.2013.00272

Journal of Electronics & Information Technology (电子与信息学报) 2013/35:12 PP.2972-2977

A Mobile User Preference Prediction Method Based on Trust and Link Prediction

With the development of mobile network, there is a stricter requirement for the quality of personalized mobile user services. In order to obtain more accurate mobile user preferences, a prediction method of mobile user preferences based on trust and link prediction is proposed by analyzing mobile user behaviors. Firstly, a trust calculation method of mobile user is proposed according to the mobile users’ communication behaviors. Then the nearest neighbors of active user are chosen with the obtained trust and the similarity of the ranking to the mobile network services. Then the relate degree between the mobile user and the mobile network service is obtained by the link prediction, and the mobile network services that need to be predicted can be ascertained by the obtained relate degree. Finally, the experimental results show that the proposed method can obtain more accurate mobile user preferences compared with the traditional collaborative filtering, and it can solve the sparsity issue to some extent.

Key words:Mobile communication network,Trust degree,Preference prediction,Collaborative filtering

ReleaseDate:2014-07-21 17:04:42