Extracting User Habits from Google Maps History Logs

In this paper, we present a methodology for analyzing user location information in order to identify user habits. To achieve this, we analyze user’s GPS logs provided through his Google location history, we find locations that user usually spends more time, and after identifying the user’s frequently preferred transportation types and trajectories, we find what type of places the user visits in a regular base (such as cinemas, restaurants, gyms, bars etc) and extract the habits that the user is most likely to have.