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:
Nov. 14, 2023

Filed:

Jul. 05, 2022
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

Yair Horesh, Tel Aviv, IL;

Yehezkel Shraga Resheff, Tel Aviv, IL;

Daniel Ben David, Tel Aviv, IL;

Assignee:

INTUIT INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/04 (2012.01); G06N 20/20 (2019.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); H04L 67/02 (2022.01);
U.S. Cl.
CPC ...
G06Q 30/04 (2013.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/20 (2019.01); H04L 67/02 (2013.01);
Abstract

A computer-implemented method and system are provided to utilize machine learning technology to process user financial transaction data to predict a personalized payment screen architecture. A plurality of feature datasets associated with transaction data of a plurality of electronic invoices are obtained by a computing device. Each feature dataset comprises a plurality of features, a payment screen and a payment method configured to be presented on at least one payment screen. The computing device is configured to train a machine learning model with the feature datasets to produce a probability matrix with probabilities of each payment method used to pay the invoices through each payment screen. The computing device may weigh the probability matrix to generate a recommendation matrix and determine a prediction of a payment screen based on the recommendation matrix.


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