MACHINE LEARNING-BASED GEOLOCATION AND HOTSPOT AREA IDENTIFICATION

摘要

Machine-learning based geolocation techniques may be used to provide the geolocations of user devices and determine the locations of hotspot areas. A coarse geolocation of a user device may be determined based on the wireless communication network usage information of the user device. Device data that includes the coarse geolocation of the use device may be inputted into a trained geolocation model of a machine learning algorithm. A refined geolocation of the user device that is more accurate than the coarse geolocation of the user device may be determined by using the machine learning algorithm to process the device data via the trained geolocation model. The refined geolocation of the user device may be further stored in a data store.

主权项

1. One or more non-transitory computer-readable media storing computer-executable instructions that upon execution cause one or more processors to perform acts comprising:
determining a coarse geolocation of a user device based on wireless communication network usage information of the user device; inputting device data into a trained geolocation model of a machine learning algorithm, the device data including the coarse geolocation of the user device; determining a refined geolocation of the user device that is more accurate than the coarse geolocation of the user device by using the machine learning algorithm to process the device data via the trained geolocation model; and storing the refined geolocation of the user device in a data store.