US 12,438,838 B2
Systems and methods for reducing network traffic
Shannon Yogerst, New York, NY (US); Purva Shanker, Arlington, VA (US); Tania Cruz Morales, Washington, DC (US); and Haytham Yaghi, Oakton, VA (US)
Assigned to Capital One Services, LLC, McLean, VA (US)
Filed by Capital One Services, LLC, McLean, VA (US)
Filed on Jun. 6, 2024, as Appl. No. 18/736,471.
Application 18/736,471 is a continuation of application No. 18/169,833, filed on Feb. 15, 2023, granted, now 12,088,546.
Prior Publication US 2024/0396857 A1, Nov. 28, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 51/21 (2022.01); H04L 51/02 (2022.01)
CPC H04L 51/21 (2022.05) [H04L 51/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for reducing network traffic associated with a service, the system comprising:
memory; and
one or more processors, coupled to the memory, configured to cause the system to:
identify a first type of communication that is conducted by the service using a machine learning model and that is between a chatbot of the service and a client device associated with an account;
identify a second type of communication that is between the service and the client device or another client device associated with the account and that generates more network traffic than the first type of communication;
determine that the second type of communication includes a same unresolved query that is included in the first type of communication; and
update, for a future communication with the chatbot and based on determining that the second type of communication includes the same unresolved query that is included in the first type of communication, the machine learning model with a service response that addresses the same unresolved query and is included in the second type of communication.