Mining correlation between locations using location history

摘要

Techniques describe determining a correlation between identified locations to recommend a location that may be of interest to an individual user. The process constructs a location model to identify locations. To construct the model, the process uses global positioning system (GPS) logs of geospatial locations collected over time and identifies trajectories representing trips of the individual user and extracts stay points from the trajectories. Each stay point represents a geographical region where the individual user stayed over a time threshold within a distance threshold. A location history is formulated for the individual user based on a sequence of the extracted stay points to identify locations. The process determines a correlation between identified locations. The process integrates travel experiences of individual users who have visited the locations in a weighted manner and identifies a common travel sequence which the individual users followed between the locations.