公开(公告)号：US12204866B1

公开(公告)日：2025-01-21

申请号：US17472203

申请日：2021-09-10

Applicant: Amazon Technologies, Inc.

Inventor： Srinivasa Sandeep Atluri ,  Constantin Daniel Marcu ,  Kevin Small ,  Kemal Oral Cansizlar ,  Vijit Singh ,  Li Zhou ,  Aritra Biswas ,  Bhanu Pratap Jain

IPC: G06F40/35 ,  G06F16/632 ,  G10L13/08 ,  G10L15/18

Abstract: 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.

公开(公告)号：US11188831B2

公开(公告)日：2021-11-30

申请号：US15796410

申请日：2017-10-27

Applicant: Amazon Technologies, Inc.

Inventor： Benjamin Lev Snyder ,  Liliane Jeanne Barbour ,  Aritra Biswas ,  Simone Elviretti ,  Rasika Sanjay Jangle ,  Paul Hercules Mandac Rivera ,  James Stevenson ,  Daniel Patrick Weaver

IPC: G06N5/02 ,  G06F16/54 ,  G06Q30/06 ,  G06F16/904 ,  G06F16/9038 ,  G06N3/04

Abstract: 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.

公开(公告)号：US20190130285A1

公开(公告)日：2019-05-02

申请号：US15796410

申请日：2017-10-27

Applicant: Amazon Technologies, Inc.

Inventor： Benjamin Lev Snyder ,  Liliane Jeanne Barbour ,  Aritra Biswas ,  Simone Elviretti ,  Rasika Sanjay Jangle ,  Paul Hercules Mandac Rivera ,  James Stevenson ,  Daniel Patrick Weaver

IPC: G06N5/02 ,  G06N3/04 ,  G06F17/30

Abstract: 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.