一种基于信任度和链接预测方法的移动用户偏好预测方法

摘要

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.%随着移动互联网的发展，人们也对移动互联网的个性化服务提出了更高的要求。为了获取更准确的移动用户偏好以满足个性化服务的要求，该文通过分析移动用户行为，提出一种基于信任度和链接预测的移动用户偏好预测方法。该方法首先通过分析移动用户通信行为，提出一种计算移动用户信任度的方法；然后根据得到的移动用户信任度和移动用户评分相似度选取移动用户的近似邻居；通过链接预测方法计算移动用户和移动网络服务之间的相关度，并根据相关度确定需要预测的移动网络服务集合；最后通过该方法对移动用户偏好进行预测。实验结果表明，该方法的预测精确度优于传统的协同过滤技术，在一定程度上解决了稀疏性问题。