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:
Apr. 25, 2023

Filed:

Apr. 24, 2019
Applicant:

Visa International Service Association, San Francisco, CA (US);

Inventors:

Vivek Narayanan Nair, North York, CA;

Anubhav Narang, Singapore, SG;

Lubna Akhtar, Singapore, SG;

Dhirender Singh Rathore, Singapore, SG;

Ayush Manohar Babu Khokale, Singapore, SG;

Keyuan Wu, Singapore, SG;

Assignee:

Visa International Service Association, San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06N 20/00 (2019.01); G06Q 20/40 (2012.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06K 9/6267 (2013.01); G06K 9/6298 (2013.01); G06N 20/00 (2019.01); G06Q 20/4015 (2020.05);
Abstract

Provided is a method for developing a geographic agnostic machine learning model. The method may include selecting transaction data associated with payment transactions conducted by a first plurality of users, wherein the transaction data includes first transaction data associated with payment transactions conducted by a first plurality of users in a first geographic area and second transaction data associated with payment transactions conducted by a second plurality of users in a second geographic area, formatting the first transaction data associated with payment transactions conducted by the first plurality of users in the first geographic area and the second transaction data associated with payment transactions conducted by the second plurality of users in the second geographic area to provide training data, and generating the geographic agnostic machine learning model using the training data. A system and computer program product are also disclosed.


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