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:
Aug. 19, 2025

Filed:

Jan. 12, 2024
Applicant:

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

Inventors:

Micah Price, Plano, TX (US);

Chi-San Ho, Allen, TX (US);

Yue Duan, Plano, TX (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 40/03 (2023.01); G06F 9/451 (2018.01); G06F 16/28 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 30/018 (2023.01); G06Q 30/02 (2023.01); G06Q 30/0204 (2023.01); G06Q 50/26 (2012.01); G06Q 30/0251 (2023.01);
U.S. Cl.
CPC ...
G06Q 40/03 (2023.01); G06F 9/451 (2018.02); G06F 16/285 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 30/0185 (2013.01); G06Q 30/0205 (2013.01); G06Q 50/265 (2013.01); G06Q 30/0269 (2013.01);
Abstract

A computer-implemented method for providing a personalized interface to a user based on whether the user is serious about making a purchase may include: obtaining customer identification data and customer input data a customer, wherein the customer input data comprises a request from the customer; determining a request status of the customer based on the customer identification data and the customer input data; obtaining customer interface activity data of the customer based on the request status; obtaining customer purchasing data of the customer based on the request status; generating a prediction model based on the customer interface activity data and the customer purchasing data; training the generated prediction model by classifying the customer based on the customer interface activity data and the customer purchasing data; obtaining user identification data and user interface activity data of a user via a user device, the user interface activity data indicating interactive activities between the user and a user interface displayed on the user device; determining a rating of the user to purchase a product based on the user identification data, the user interface activity data, and the prediction model; and providing, to the user, an updated user interface on the user device based on the determined rating.


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