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:
Mar. 19, 2024

Filed:

Aug. 10, 2021
Applicant:

Mastercard International Incorporated, Purchase, NY (US);

Inventors:

Akash Singh, Delhi, IN;

Tanmoy Bhowmik, Bangalore, IN;

Deepak Bhatt, Dehradun, IN;

Shiv Markam, Mandla, IN;

Ganesh Nagendra Prasad, West New York, NJ (US);

Jessica Peretta, Purchase, NY (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0201 (2023.01); G06F 18/2415 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0201 (2013.01); G06F 18/2415 (2023.01); G06N 20/00 (2019.01);
Abstract

Systems and computer-implemented methods are described for modeling card inactivity. For example, hierarchical modeling may be used in which a first level classifier may be trained and validated to predict whether a card will be inactive. For cards predicted to become inactive by the first level classifier, a second level classifier may be trained and validated to predict when the card will become inactive. The first level classifier may include a binary classifier that generates two probabilities that respectively predict that the card will and will not become inactive. The second level classifier may include a multi-class classifier that generates a first probability that the card will become inactive at a first time period (such as one or more months in the future) and a second probability that the card will become inactive at a second time period. The multi-class classifier may generate other probabilities corresponding to other time periods.


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