基于 LDA 主题模型的用户电信轨迹恢复算法

With the development of mobile communication technology and the popularization of mobile devices，the daily track record data become rich． Massive track data hides valuable knowledge about person and human society． In order to make the knowledge model generated based on the trajectory data more accurate and effective to serve the users，it is particularly important to be able to recover the missing telco trajectories accurately and reliably． Currently，most of the methods mainly focus on modeling continuous trajectories such as GPS trajectories，but lack of researches on the restoration of telco trajectories generated in mobile communication scenarios． Therefore，this paper transformed the problem of telecommunication trajectory recovery into a matrix completion problem，and proposed a recovery algorithm based on the LDA topic model． In the experiment，it made a comprehensive comparison with the traditional matrix completion algorithm and observe the effect of different parameters on trajectory recovery． The experimental results show that compared with the traditional matrix completion algorithm，the LDA topic model can significantly improve the recovery accuracy of missing telco tracks．