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公开(公告)号：US11580960B2
公开(公告)日：2023-02-14
申请号：US17109449
申请日：2020-12-02
Applicant: Amazon Technologies, Inc.
Inventor： Ravi Chandra Reddy Yasa , Sai Rahul Reddy Pulikunta , Eliav Kahan , Gregory Newell
Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.
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公开(公告)号：US12080281B2
公开(公告)日：2024-09-03
申请号：US18160403
申请日：2023-01-27
Applicant: Amazon Technologies, Inc.
Inventor： Ravi Chandra Reddy Yasa , Sai Rahul Reddy Pulikunta , Eliav Kahan , Gregory Newell
CPC classification number: G10L15/1815 , G06F16/313 , G06F16/334 , G06N20/00 , G10L15/22 , G10L15/26 , G10L2015/223 , G10L2015/225
Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.
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公开(公告)号：US11430435B1
公开(公告)日：2022-08-30
申请号：US16219513
申请日：2018-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Eliav Kahan , David Smith , Matthew Fuller Sly , Joel Toledano , Abhijit Savarkar
Abstract: Techniques for selectively requesting feedback from users are described. A system may receive a user input and perform an action responsive to the user input. The system may determine whether feedback should be requested from the user. Such determination may be based on various signals such as the user's present emotional state, whether the user input included profanity, whether the user input interrupted an output of the system, etc. When the system determines feedback should be requested, the system may select a feedback prompt pre-established by a domain, skill, or the like. After the system outputs the response to the user input, the system may output the feedback prompt.
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公开(公告)号：US10861446B2
公开(公告)日：2020-12-08
申请号：US16215105
申请日：2018-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Ravi Chandra Reddy Yasa , Sai Rahul Reddy Pulikunta , Eliav Kahan , Gregory Newell
Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.
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公开(公告)号：US10783901B2
公开(公告)日：2020-09-22
申请号：US16214758
申请日：2018-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Gregory Newell , Eliav Kahan , Ravi Chandra Reddy Yasa , David Suarez , Joel Toledano
Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g., a skill having a significantly high popularity among users of the system), or whether the user would like to know about some other topic. If the user responds affirmatively to the recommended topic, the system may pass the user experience off to an appropriate component of the system (e.g., one that is configured to perform an action related to the topic). If the user responds negatively, does not respond at all, or the system is unsure whether the user's response was affirmative or negative, the system may cease interaction with the user, thereby enabling the user to interact with the system as the user desires.
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Patent Agency Ranking
公开(公告)号：US11854573B2
公开(公告)日：2023-12-26
申请号：US17016873
申请日：2020-09-10
Applicant: Amazon Technologies, Inc.
Inventor： Gregory Newell , Eliav Kahan , Ravi Chandra Reddy Yasa , David Suarez , Joel Toledano
CPC classification number: G10L25/51 , G10L15/1822 , G10L15/22 , G10L15/26 , G10L2015/223 , G10L2015/225
Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g., a skill having a significantly high popularity among users of the system), or whether the user would like to know about some other topic. If the user responds affirmatively to the recommended topic, the system may pass the user experience off to an appropriate component of the system (e.g., one that is configured to perform an action related to the topic). If the user responds negatively, does not respond at all, or the system is unsure whether the user's response was affirmative or negative, the system may cease interaction with the user, thereby enabling the user to interact with the system as the user desires.
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公开(公告)号：US20210082411A1
公开(公告)日：2021-03-18
申请号：US17109449
申请日：2020-12-02
Applicant: Amazon Technologies, Inc.
Inventor： Ravi Chandra Reddy Yasa , Sai Rahul Reddy Pulikunta , Eliav Kahan , Gregory Newell
Abstract: Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.
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公开(公告)号：US20200184992A1
公开(公告)日：2020-06-11
申请号：US16214758
申请日：2018-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Gregory Newell , Eliav Kahan , Ravi Chandra Reddy Yasa , David Suarez , Joel Toledano
Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g., a skill having a significantly high popularity among users of the system), or whether the user would like to know about some other topic. If the user responds affirmatively to the recommended topic, the system may pass the user experience off to an appropriate component of the system (e.g., one that is configured to perform an action related to the topic). If the user responds negatively, does not respond at all, or the system is unsure whether the user's response was affirmative or negative, the system may cease interaction with the user, thereby enabling the user to interact with the system as the user desires.
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公开(公告)号：US12165671B2
公开(公告)日：2024-12-10
申请号：US18507715
申请日：2023-11-13
Applicant: Amazon Technologies, Inc.
Inventor： Gregory Newell , Eliav Kahan , Ravi Chandra Reddy Yasa , David Suarez , Joel Toledano
Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g., a skill having a significantly high popularity among users of the system), or whether the user would like to know about some other topic. If the user responds affirmatively to the recommended topic, the system may pass the user experience off to an appropriate component of the system (e.g., one that is configured to perform an action related to the topic). If the user responds negatively, does not respond at all, or the system is unsure whether the user's response was affirmative or negative, the system may cease interaction with the user, thereby enabling the user to interact with the system as the user desires.
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公开(公告)号：US20240153525A1
公开(公告)日：2024-05-09
申请号：US18507715
申请日：2023-11-13
Applicant: Amazon Technologies, Inc.
Inventor： Gregory Newell , Eliav Kahan , Ravi Chandra Reddy Yasa , David Suarez , Joel Toledano
CPC classification number: G10L25/51 , G10L15/1822 , G10L15/22 , G10L15/26 , G10L2015/223 , G10L2015/225
Abstract: Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g., a skill having a significantly high popularity among users of the system), or whether the user would like to know about some other topic. If the user responds affirmatively to the recommended topic, the system may pass the user experience off to an appropriate component of the system (e.g., one that is configured to perform an action related to the topic). If the user responds negatively, does not respond at all, or the system is unsure whether the user's response was affirmative or negative, the system may cease interaction with the user, thereby enabling the user to interact with the system as the user desires.
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