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:
Oct. 18, 2022

Filed:

Jun. 19, 2019
Applicant:

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

Inventors:

Srinivasan Sundar Raghavan, Mercer Island, WA (US);

Daniel Micol-Ponce, Madrid, ES;

Noelia Moron, Madrid, ES;

Hersh Nagar, Snoqualmie, WA (US);

Jaime Vallori, Seattle, WA (US);

Vamsi Krishna Vutukuru, Sammamish, WA (US);

Assignee:

AMAZON TECHNOLOGIES, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2453 (2019.01); G06N 20/00 (2019.01); G06F 16/2455 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24534 (2019.01); G06F 16/2455 (2019.01); G06N 20/00 (2019.01);
Abstract

Devices and techniques are generally described for dynamic policy determination using machine learning. In some examples, first goal data may be received. A first machine learning model may generate a first computer-executable policy based at least in part on the first goal data. In some examples, a first search query may be received. In various examples, the first search query may be modified by the first computer-executable policy to generate a modified search query. In some examples, first feedback data related to user interaction with search results of the modified search query may be determined. In various examples, at least one parameter of the first machine learning model may be updated based at least in part on the first feedback data to generate a second machine learning model.


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