公开(公告)号：US11776542B1

公开(公告)日：2023-10-03

申请号：US17217943

申请日：2021-03-30

Applicant: Amazon Technologies, Inc.

Inventor： Edward Bueche ,  Francois Mairesse ,  Torbjorn Vik ,  Tao Ye

IPC: G10L15/26 ,  G10L15/22 ,  G06N20/00 ,  G10L15/08

CPC classification number: G10L15/22 ,  G06N20/00 ,  G10L2015/088 ,  G10L2015/223

Abstract: Dialog acts (e.g., questions) are selected for voice browsing by a machine learning model trained to identify a dialog act that is most likely to lead to a desired outcome. When an invocation is received from a user, a context of the invocation is determined, and a pool of dialog acts is scored based on the context by a machine learning model. Dialog acts are selected from the pool and presented to the user in accordance with a randomization policy. Data regarding the dialog acts and their success in achieving a desired outcome is used to train one or more machine learning models to select dialog acts in response to invocations.