Amazon Technologies, Inc.

Aritra Biswas

Li Zhou

James Stevenson

Kevin Michael Small

Benjamin Lev Snyder

Kemal Oral Cansizlar

Constantin Daniel Marcu

Liliane Jeanne Barbour

Daniel Patrick Weaver

Simone Elviretti

Bhanu Pratap Jain

Rasika Sanjay Jangle

Vijit Singh

Paul Hercules Mandac Rivera

Srinivasa Sandeep Atluri

Techniques for conversational-based searching are described. A system may receive a first spoken user input, and may determine that the first spoken user input corresponds to a request for information associated with an entity. The system may retrieve item results corresponding to the entity. The system may determine a suggested user input based on the retrieved item results, and may determine output data corresponding to the suggested user input. The system may send output data to a user device, where the output data includes the item results and the suggested user input. The system may receive a second spoken user input, and may determine that the second spoken user input corresponds to the suggested user input. In response, the system may send the previously determined output data to the device.

Voice based searching and dialog management system

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

Madison, WI, United States of America

Aritra Biswas