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:

Dec. 28, 2018
Applicant:

Paypal, Inc., San Jose, CA (US);

Inventors:

Krishnakumar Govindarajalu, San Jose, CA (US);

Cynthia L. O'Yang, Sunnyvale, CA (US);

Yue Xin, San Jose, CA (US);

Tao Sun, Fremont, CA (US);

Dharmendra Kumar, Cupertino, CA (US);

Assignee:

PAYPAL, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2023.01); G06N 20/00 (2019.01); G06Q 20/08 (2012.01); G06F 3/0482 (2013.01); G06Q 30/0279 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0279 (2013.01); G06N 20/00 (2019.01); G06Q 20/085 (2013.01); G06F 3/0482 (2013.01);
Abstract

There are provided systems and methods for intelligent interface displays based on past data correlations. A service provider and/or entity may implement a machine learning engine to dynamically adjust data displayed in interface elements of an interface provided by the service provider or entity. The data may correspond to an amount for a voluntary payment to the entity by a user and may be based on correlating and processing past user transactions and received entity payments. Weights may be applied to the data to determine median, average, and/or quartile amounts based on goals set by the user, events occurring at the time of the voluntary payment, and/or time of year. Once the machine learning engine determines one or more amounts specific to the user's payment to the entity, the engine may adjust or output the interface having the user specific data for processing.


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