Benign Strategy for Recommended Location Service Based on Trajectory Data  

作　　者：Jing Yang Peng Wang Jianpei Zhang 

机构地区：[1]College of Computer Science and Technology, Harbin Engineering University, Harbin, Heilongjiang, China [2]College of Information Engineering, Suihua University, Suihua, Heilongjiang, China

出　　处：《国际计算机前沿大会会议论文集》2019年第1期17-19,共3页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

摘　　要：A new collaborative filtered recommendation strategy oriented to trajectory data is proposed for communication bottlenecks and vulnerability in centralized system structure location services. In the strategy based on distributed system architecture, individual user information profiles were established using daily trajectory information and neighboring user groups were established using density measure. Then the trajectory similarity and profile similarity were calculated to recommend appropriate location services using collaborative filtering recommendation method. The strategy was verified on real position data set. The proposed strategy provides higher quality location services to ensure the privacy of user position information.

关 键 词：Location services COLLABORATIVE FILTERING RECOMMENDATION TRAJECTORY SIMILARITY 

分 类 号：C[社会学]