Amazon Technologies, Inc.

Prateek Sharma

Stefano Stefani

Warren Vincent Barkley

Siddharth Vivek Joshi

Fedor Zhdanov

Anuj Gupta

Sindhu Chejerla

Kriti Bharti

Jon I Turow

Jonathan Thomas Greenlee

Pietro Perona

Jonathan Hedley

Mark Chien

James Andrew Trenton Lipscomb

Pranav Sachdeva

Alisa V Shinkorenko

Krzysztof Chalupka

A request is received associated with a review. Within first content, a first field of interest and a second field of interest are identified and within second content, a third field of interest and a fourth field of interest are identified. A review is generated that includes a first indication of the first field of interest and a second indication of the second field of interest within the first content, as well as a third indication of the third field of interest and a fourth indication of the fourth field of interest within the second content. The review is transmitted to a device of a reviewer for reviewing the content.

Providing content reviews based on AI/ML output

A request is received associated with reviewing content. As part of the request, one or more conditions are received and the content is analyzed to identify a first field of interest and a second field of interest. The first field of interest and the second field of interest represent fields of interest associated with the review of the content. At least one of the first field of interest or the second field of interest may not satisfy the one or more conditions and the content, or a portion thereof, may be sent for review.

Determining content to present for human review

A request associated with reviewing content for a field of interest is received. A confidence is determined associated with the content including the field of interest. A machine learning (ML) model determines a first confidence associated with the content includes the field of interest. The field of interest is transmitted for review in instances where the first confidence is less than a confidence threshold. After review, an indication associated with a reviewer reviewing the content and the first confidence associated with the ML model identifying the field of interest is updated to a second confidence.

Adjusting confidence thresholds based on review and ML outputs

Growing community of inventors

Seattle, WA, United States of America

Prateek Sharma