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公开(公告)号：US11380308B1
公开(公告)日：2022-07-05
申请号：US16714417
申请日：2019-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Rajesh Kumar Pandey , Ruhi Sarikaya , Shubham Katiyar , Arun Kumar Thenappan , Isaac Joseph Madwed , Jihwan Lee , David Thomas , Julia Kennedy Nemer , Mohamed Farouk AbdelHady , Joe Pemberton , Young-Bum Kim , Prasha Shrestha , Hao Yuan
Abstract: Devices and techniques are generally described for using user feedback to determine routing decisions in a speech processing system. In various examples, first data representing a first utterance may be received. Second data representing a first semantic interpretation of the first utterance may be determined. A first intent data processing application may be selected for processing the second data. Feedback data may be determined related to the first intent data processing application processing the second data. Third data representing a semantic interpretation of a second utterance may be received, wherein the first semantic interpretation is the same as the second semantic interpretation. A second intent data processing application may be determined for processing the third data based at least in part on the feedback data.
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公开(公告)号：US11289075B1
公开(公告)日：2022-03-29
申请号：US16714497
申请日：2019-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Rajesh Kumar Pandey , Ruhi Sarikaya , Shubham Katiyar , Arun Kumar Thenappan , Isaac Joseph Madwed , Jihwan Lee , David Thomas , Julia Kennedy Nemer , Mohamed Farouk AbdelHady , Joe Pemberton , Young-Bum Kim , Hao Yuan , Prasha Shrestha
Abstract: Devices and techniques are generally described for using user feedback to determine routing decisions in a speech processing system. In various examples, first data representing a first utterance may be received. Second data representing a first semantic interpretation of the first utterance may be determined. A first intent data processing application may be selected for processing the second data. Feedback data may be determined related to the first intent data processing application processing the second data. Third data representing a semantic interpretation of a second utterance may be received, wherein the first semantic interpretation is the same as the second semantic interpretation. A second intent data processing application may be determined for processing the third data based at least in part on the feedback data.
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公开(公告)号：US20210042163A1
公开(公告)日：2021-02-11
申请号：US17081756
申请日：2020-10-27
Applicant: Amazon Technologies, Inc.
Inventor： Manigandan Radhakrishnan , Marc John Brooker , Yilmaz Can Cecen , David Alexander Dunlap , Craig Wesley Howard , Shubham Katiyar , Ajay Nair , Venkatesh Vijayaraghavan , Vo Vuong , Meenakshi Vembusubramanian
IPC: G06F9/50
Abstract: An on-demand code execution environment present in points of presence (POPs) and in regions serviced by the POPs is provided herein. For example, a POP may receive a request to execute a task associated with user-defined code. If the POP determines that the computing resources necessary to execute a received task are not available or that the POP should not execute the received task for another reason (e.g., the task is not commonly received and the computing resources needed to execute the task are therefore best allocated for other requests), the POP can forward the task to a region that the POP services for execution by an on-demand code execution environment present in the region. The on-demand code execution environment present in the region can execute the task and forward the results of the execution to the POP for distribution back to a user device that requested the task execution.
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公开(公告)号：US10372499B1
公开(公告)日：2019-08-06
申请号：US15391696
申请日：2016-12-27
Applicant: Amazon Technologies, Inc.
Inventor： Manigandan Radhakrishnan , Marc John Brooker , Yilmaz Can Cecen , David Alexander Dunlap , Craig Wesley Howard , Shubham Katiyar , Ajay Nair , Venkatesh Vijayaraghavan , Vo Vuong , Meenakshi Vembusubramanian
Abstract: An on-demand code execution environment present in points of presence (POPs) and in regions serviced by the POPs is provided herein. For example, a POP may receive a request to execute a task associated with user-defined code. If the POP determines that the computing resources necessary to execute a received task are not available or that the POP should not execute the received task for another reason (e.g., the task is not commonly received and the computing resources needed to execute the task are therefore best allocated for other requests), the POP can identify a region suitable for executing the task and forward the task to the identified region. An on-demand code execution environment present in the identified region can execute the task and forward the results of the execution to the POP for distribution back to a user device that requested the task execution.
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