公开(公告)号：US20240029730A1

公开(公告)日：2024-01-25

申请号：US18322918

申请日：2023-05-24

Applicant: Amazon Technologies, Inc.

Inventor： Rohit Prasad ,  Shiv Naga Prasad Vitaladevuni ,  Prem Natarajan

IPC: G10L15/22 ,  H04L67/306 ,  G10L15/18 ,  G10L15/06

CPC classification number: G10L15/22 ,  H04L67/306 ,  G10L15/1815 ,  G10L15/063 ,  G10L2015/223 ,  G10L2015/088

Abstract: Described are techniques for predicting when data associated with a user input is likely to be selected for deletion. The system may use a trained model to assist with such predictions. The trained model can be configured based on deletions associated with a user profile. An example process can including receiving user input data corresponding to the user profile, and processing the user input data to determine a user command. Based on characteristic data of the user command, the trained model can be used to determine that data corresponding to the user command is likely to be selected for deletion. The trained model can be iteratively updated based on additional user commands, including previously received user commands to delete user input data.

公开(公告)号：US11769496B1

公开(公告)日：2023-09-26

申请号：US16711967

申请日：2019-12-12

Applicant: Amazon Technologies, Inc.

Inventor： Rohit Prasad ,  Shiv Naga Prasad Vitaladevuni ,  Prem Natarajan

IPC: G10L15/22 ,  H04L29/08 ,  G10L15/18 ,  G10L15/06 ,  H04L67/306 ,  G10L15/08 ,  G06F21/62 ,  G10L15/07

CPC classification number: G10L15/22 ,  G10L15/063 ,  G10L15/1815 ,  H04L67/306 ,  G06F21/6245 ,  G10L15/07 ,  G10L2015/088 ,  G10L2015/223 ,  G10L2015/227

Abstract: Described are techniques for predicting when data associated with a user input is likely to be selected for deletion. The system may use a trained model to assist with such predictions. The trained model can be configured based on deletions associated with a user profile. An example process can including receiving user input data corresponding to the user profile, and processing the user input data to determine a user command. Based on characteristic data of the user command, the trained model can be used to determine that data corresponding to the user command is likely to be selected for deletion. The trained model can be iteratively updated based on additional user commands, including previously received user commands to delete user input data.