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.
CITATION STYLE
Yang, J., Wang, P., & Zhang, J. (2019). Benign Strategy for Recommended Location Service Based on Trajectory Data. In Communications in Computer and Information Science (Vol. 1058, pp. 3–19). Springer Verlag. https://doi.org/10.1007/978-981-15-0118-0_1
Mendeley helps you to discover research relevant for your work.