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:
May. 20, 2025

Filed:

Jan. 16, 2024
Applicant:

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

Inventors:

Michael Charles Todasco, Santa Clara, CA (US);

Patrick Babcock, Sturbridge, MA (US);

Avik Chatterjee, Phoenix, AZ (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0601 (2023.01); G06F 16/27 (2019.01); G06F 16/9035 (2019.01); G06N 20/00 (2019.01); G06Q 30/0202 (2023.01); G06Q 30/0207 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06F 16/27 (2019.01); G06F 16/273 (2019.01); G06F 16/9035 (2019.01); G06N 20/00 (2019.01); G06Q 30/0202 (2013.01); G06Q 30/0224 (2013.01); G06Q 30/0633 (2013.01); G06Q 30/0639 (2013.01);
Abstract

There are provided systems and methods for edge computing storage nodes based on location and activities for user data separate from cloud computing environments. A service provider, such as an online transaction processor, may provide additional services for to users via edge computing systems and edge computing storage nodes. The service may be for data that may be predictively loaded to the edge computing storage node for a particular location, where the edge computing storage node may reside more locally to the location on a network so that data may be served quicker and with less network resource consumption than providing data from a remote cloud computing storage. The data may be predicted to be needed or useful to the user at the location using a user profile for the user, monitored user activities, and/or one or more machine learning models that predict user behaviors at the location.


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