The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 16, 2026

Filed:

Nov. 17, 2021
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Lukiih Cuan, Washington, DC (US);

Lin Ni Lisa Cheng, New York, NY (US);

Michelle S. Olenoski, Washington, DC (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06N 5/022 (2023.01); G06Q 30/0201 (2023.01);
U.S. Cl.
CPC ...
G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06Q 30/0201 (2013.01);
Abstract

Systems and methods are disclosed including determining that a first activity data of a completed activity record of a user comprises a predictive characteristic indicative of a potential rejection claim. A computing device produces a request for a second activity data of the completed activity, based at least in part on the first activity data. The computing device receives a plurality of completed activity records related to a plurality of other users and trains an entity-identifying machine learning model to identify a plurality of entity-identifying characteristics related to a plurality of known entities to obtain a trained entity-identifying machine learning model. The computing device applies, when the predictive characteristic is present, the trained entity-identifying machine learning model to identify a known-entity data related to the completed activity of the user. The computing device updates the completed activity record of the completed activity of the user.


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