US 12,452,626 B2
Machine learning model prediction of an opportunity for an entity category in a geographic area
Rosa Milani, Wynnewood, PA (US); Michael Mossoba, Great Falls, VA (US); and Joshua Edwards, Philadelphia, PA (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Aug. 30, 2022, as Appl. No. 17/823,179.
Prior Publication US 2024/0073641 A1, Feb. 29, 2024
Int. Cl. H04W 4/021 (2018.01); H04W 4/02 (2018.01); H04W 4/029 (2018.01)
CPC H04W 4/022 (2013.01) [H04W 4/023 (2013.01); H04W 4/029 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A system for machine learning model prediction of an opportunity for an entity category in a geographic area, the system comprising:
one or more memories; and
one or more processors, communicatively coupled to the one or more memories, configured to:
obtain information relating to an application for services by an entity, wherein the entity is associated with the entity category and the geographic area;
obtain event data relating to events involving one or more entities and one or more individuals associated with origin locations in the geographic area, wherein the one or more entities are associated with entity categories;
obtain location data indicating the origin locations associated with the one or more individuals and locations of the one or more entities;
determine, based on the location data, distances between the origin locations associated with the one or more individuals and the locations of the one or more entities,
the distances indicating travel distances of the one or more individuals to perform exchanges in the entity categories associated with the one or more entities;
determine, using a machine learning model and based on the event data and the distances, whether the geographic area is associated with an opportunity for the entity category; and
perform an operation to cause approval or rejection of the application based on whether the geographic area is associated with the opportunity for the entity category.