US 12,413,666 B2
Computer-based systems configured to generate an interactive communication for a plurality of the repetitive interaction sessions and methods of use thereof
Joshua Edwards, Philadelphia, PA (US); Shabnam Kousha, Washington, DC (US); Asher Smith-Rose, Midlothian, VA (US); and Tyler Maiman, Melville, NY (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Aug. 18, 2023, as Appl. No. 18/452,226.
Prior Publication US 2025/0063116 A1, Feb. 20, 2025
Int. Cl. H04M 3/00 (2024.01); H04L 65/1076 (2022.01); H04L 65/1101 (2022.01); H04M 3/22 (2006.01); H04M 3/51 (2006.01)
CPC H04M 3/2281 (2013.01) [H04L 65/1079 (2013.01); H04L 65/1101 (2022.05); H04M 3/5191 (2013.01); H04M 2201/42 (2013.01); H04M 2203/6027 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
obtaining, by at least one processor, via each respective instance of at least one graphical user interface (GUI) having at least one programmable GUI element, a permission from each user in a plurality of users to monitor a plurality of activities executed within of a plurality of computing devices associated with the plurality of users;
continually receiving, by the at least one processor, in response to obtaining the permission from the plurality of users, monitoring data of the plurality of activities executed within the plurality of computing devices for a predetermined period of time;
identifying, by the at least one processor, based on the monitoring data, a plurality of related incoming interaction sessions being initiated, within the predetermined period of time, across the plurality of computing devices associated with the plurality of users;
automatically verifying, by the at least one processor of the plurality of computing devices, at least one common session parameter associated with the plurality of related incoming interaction sessions to identify the plurality of related incoming interaction sessions as being a plurality of repetitive interaction sessions when, based on a database of known session interaction parameters, the at least one common session parameter is associated with at least one of a particular entity, a particular individual, or a particular physical location;
inputting, by the at least one processor of the plurality of computing devices, the at least one common session parameter of the plurality of related incoming interaction sessions into a machine learning algorithm to determine at least one transaction associated with at least one computing device of the plurality of computing devices associated with the plurality of users;
determining, by the at least one processor, a plurality of fraudulent transactional rules associated with the at least one transaction and the at least one computing device of the plurality of the computing devices associated with the plurality of users based on a pre-generated database of transactional rules;
automatically adjusting, by the at least one processor, the plurality of fraudulent transactional rules associated with the at least one transaction based on a determination that the at least one transaction occurred during at least one repetitive interaction session of the plurality of the repetitive interaction sessions;
utilizing, by the at least one processor, a natural language processing algorithm to automatically generate at least one interaction notification for transmission to the particular computing device of the plurality of computing devices;
receiving, by the at least one processor, from the particular computing device, a response to the interactive notification; and
automatically updating, by the at least one processor, the database of known session interaction parameters based on the response to the interactive notification.