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:
Sep. 17, 2024

Filed:

Jun. 23, 2021
Applicant:

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

Inventors:

Minh Le, Bentonville, AR (US);

Rui Zhang, New York, NY (US);

Erik Mueller, Chevy Chase, MD (US);

Victor Alvarez Miranda, McLean, VA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0201 (2023.01); G06F 17/18 (2006.01); G06F 18/2431 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0201 (2013.01); G06F 17/18 (2013.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01);
Abstract

Provided herein are systems and methods for using multi-modal regression to predict customer intent to contact a merchant. Multi-modal data including numerical data and unstructured data are extracted from customer interactions with the merchant. Features of the numerical data and the unstructured data are separately extracted and classified using techniques specific to the data types. The features for each type are then separately used to predict probabilities of customer intent. A neural network is used to combine the predictions into a single set of estimates of customer intent. This set of estimates of customer intents is used to estimate a probability that the customer will contact the merchant. The customer is then contacted based on the estimate.


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