The Research of Social Tie Prediction based on Fuzzy Trajectory

• 1、Institute of network technology, Beijing University of Posts and Telecommunications, BeiJing 100876

Abstract：Due to the rapid development of location-based services, friend recommendation can be performed by using the track information calculated by the user\'s location information in the friend recommendation system of the social network. However, the friend recommendation based on the location-based service may cause the issue of user privacy exposure. In response to this problem, there is a need for a scheme to protect the privacy of user-recommended buddies in location-based services. In this context, this article hopes to design a social relationship recommendation system based on fuzzy trajectory to protect the privacy of users. In this paper, the system is designed as the k-cloaking module of the original data, the user\'s semantic path trajectory generation module, and the similarity calculation and recommendation module. The system is designed and programmed. Through the realization of the system test, verify the feasibility of the system.

Keywords： Social network k-clocking friend recommendation system location-based services