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公开(公告)号：US11200892B1
公开(公告)日：2021-12-14
申请号：US16214726
申请日：2018-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Brock Christopher Stoops , Sheng Bi , Jay Reynolds , Benjamin King
Abstract: A speech interface device is configured to display an Augmented Reality (AR) user interface that displays information specific to a vehicle or other object. For example, the device may capture images of the vehicle and may displaying the AR user interface with labels, graphical elements, visual effects, and/or additional information superimposed above corresponding portions of the vehicle represented in the images. Using a remote system to perform speech processing, the device may respond to a voice command, enabling the AR user interface to display specific information about the vehicle and/or features of the vehicle in response to the voice command. The device may also send position data indicating information about what is displayed on the AR user interface, enabling the remote system to provide information about specific features or components based on where the device is pointed.
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公开(公告)号：US10013416B1
公开(公告)日：2018-07-03
申请号：US14974501
申请日：2015-12-18
Applicant: Amazon Technologies, Inc.
Inventor： Vikas Seshagiri Rao Bhardwaj , Jared Kane Kramer , Hung Chiu Phillip Keung , Kapil Chahal , Tarun Agarwal , Jason Sun , Gunashekar Jayaraman , Dhvani Yogesh Shah , Ariel Grob Dos Santos , Sheng Bi , Polly Po Yee Lee , Anirban Chakraborty
CPC classification number: G10L15/18 , G06F17/2785 , G06N5/022 , G06N20/00 , G10L15/26
Abstract: Disclosed are various embodiments for an automated service agent. Natural language inputs are obtained from a client. The natural language inputs and other data are input to machine learning models to identify intents reflected in the natural language inputs. A state in a workflow is updated to reflect the identified intents. Responses may be communicated to the client to further progress in the workflow.
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公开(公告)号：US10789548B1
公开(公告)日：2020-09-29
申请号：US15263292
申请日：2016-09-12
Applicant: Amazon Technologies, Inc.
Inventor： Naiem Khodabandehloo Yeganeh , Sheng Bi , Paul Grunchich , Royden Mark Jacob Lewis , Hunlan Lin , Chenzhi Shao , Chun-Che Wang
IPC: G06N20/00
Abstract: Systems and methods are provided for retraining a machine learning model to learn a retrained machine learning model. After a computing system receives an execution log of a prediction service and an observed user action, it may create retraining data. From the retraining data, the computing system may learn a retrained machine learning model. The retrained machine learning model can be used to compute future predictions of user actions if it has an improved performance over the original machine learning model.
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公开(公告)号：US20180268467A1
公开(公告)日：2018-09-20
申请号：US14703694
申请日：2015-05-04
Applicant: Amazon Technologies, Inc.
Inventor： Thibaut Labarre , Sheng Bi , Nicholaus Alexander Malone , Shwu Fang Loh , Vikas Seshagiri Rao Bhardwaj
CPC classification number: G06Q30/0641 , G06F16/9027
Abstract: Techniques are provided for presenting and dynamically updating a user interface that represents features/services associated with a service provider. For example, a user interface element associated with services offered by a service provider may be maintained. Further, instructions to present the user interface element with at least a first portion that represents a service of the services that is accessible may be provided. Information corresponding to an interaction with the service provider may be received. A second portion of the user interface element to present may be determined based at least in part on the received information and aggregate user data that identifies interactions by a plurality of users with the services offered by the service provider. Instructions may be provided to present the user interface element with the first portion and the determined second portion.
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