Study of Personal Location-Based State Distribution Inference
Tao Ma, Ma Chunlai, Juan Chen · 2016
It is very important to study LBS (Location-based Service) personal location inference for the privacy protection and the value extraction of LBS big data. According to study the characteristics of the target user's state in day view belongs to Gaussian distribution, an effective method to infer the user's home and work location is proposed in the article. Experimental results show that the inference method based on the user's state distribution has the higher inference accuracy than the current inference method based on the frequency statistics.