Amazon Technologies, Inc.

Rasika Sanjay Jangle

Benjamin Lev Snyder

James Stevenson

Aritra Biswas

Simone Elviretti

Liliane Jeanne Barbour

Paul Hercules Mandac Rivera

Daniel Patrick Weaver

In response to a programmatic interaction, respective representations of items of an initial result set are presented to an item consumer. One or more result refinement iterations are then conducted. In a given iteration, one or more feedback indicators with respect to one or more items are identified, a machine learning model is trained using at least the feedback indicators to generate respective result set candidacy metrics for at least some items, and the metrics are then used to transmit additional items for presentation to the item consumer.

Artificial intelligence system for real-time visual feedback-based refinement of query results

Growing community of inventors

Seattle, WA, United States of America

Rasika Sanjay Jangle