MACHINE LEARNING-BASED GEOLOCATION AND HOTSPOT AREA IDENTIFICATION

Patent №

US 10,440,503

Granted

2019-10-08

Filed 2015

Owner

TUPL, INC.

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14800621

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.

Machine learningPlanningAI hardwareH04W 4/021H04W 24/02H04W 64/00H04W 64/003H04W 24/10

AI classification

Machine learning1.00
AI hardware0.98
Planning0.83
Knowledge representation0.46
Vision0.24
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

TUPL, INC.

assignment · 361040044

Assignors

TAPIA, PABLO

On an employer assignment, the assignors are typically the inventors.

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