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:
Dec. 02, 2025

Filed:

Jan. 05, 2024
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Karanpaul Singh Chawla, Chantilly, VA (US);

Brijesh Luckria, Fayetteville, NC (US);

Bhaskar Hosahalli Hosahalli Rangaswamy, Arlington, VA (US);

Siddharth Satish Goyal, Fairfax, VA (US);

Erik Nathaniel Haukenes, Falls Church, VA (US);

Abhijit S. Barde, Cupertino, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 67/75 (2022.01); H04L 67/10 (2022.01);
U.S. Cl.
CPC ...
H04L 67/75 (2022.05); H04L 67/10 (2013.01);
Abstract

Techniques for a system to automatically recommend supported actions to a notification associated with a resource in a cloud computing environment are discussed herein. A system can includes a recommendation engine and a registry to provide centralized management of actions for responding to a notification instead of each service managing actions separately. A machine learned model can generate recommendations for resolving the notification based on a template stored in the registry that associates actions with instructions for presenting the recommendation in a respective interface modality (e.g., Chatbot, mobile application, console, etc.). In some examples, the system can implement a machine learned model, a graph model, and/or a heuristic model, to determine potential actions as recommendation data.


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