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. 16, 2023

Filed:

Nov. 12, 2020
Applicant:

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

Inventors:

Satheesh Ramalingam, Sammamish, WA (US);

Rahul Urgaonkar, Shoreline, WA (US);

Adhvik Arun Shetty, Seattle, WA (US);

Moping Dou, Seattle, WA (US);

Hargun Kaur, Bangalore, IN;

Mohan Padmanabhan, Sammamish, WA (US);

Manish Rao, Seattle, WA (US);

Amarsingh B. Winston, Seattle, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/082 (2022.01); H04L 41/16 (2022.01); H04L 43/0817 (2022.01); G06N 20/00 (2019.01); G06N 5/00 (2023.01); H04L 43/0888 (2022.01); H04L 41/0816 (2022.01); H04L 41/0893 (2022.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
H04L 41/082 (2013.01); G06N 5/01 (2023.01); G06N 20/00 (2019.01); H04L 41/0816 (2013.01); H04L 41/0893 (2013.01); H04L 41/16 (2013.01); H04L 43/0817 (2013.01); H04L 43/0888 (2013.01);
Abstract

Systems, methods, and computer-readable media are disclosed for optimizing network performance on a computer device to improve quality of experience by determining which network settings on the computing device to adjust. A clustering algorithm may identify various classes of networks and a classification algorithm may determine a network class specific to a network on a computing device. The effects of certain network settings for that networks class may be determined and the network setting and/or settings that optimizes the network performance may be promoted. The system may periodically analyze network data to recalculate the appropriate networks class and may determine different network settings based on the recalculation, facilitating mid-session improvements to the quality of experience.


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