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公开(公告)号：US20240272970A1
公开(公告)日：2024-08-15
申请号：US18648842
申请日：2024-04-29
申请人： GOOGLE LLC
发明人： Bohdan Vlasyuk , Behshad Behzadi , Mario Bertschler , Denis Burakov , Daniel Cotting , Michael Golikov , Lucas Mirelmann , Steve Cheng , Sergey Nazarov , Zaheed Sabur , Jonathan Lee , Lucia Terrenghi , Adrian Zumbrunnen
CPC分类号： G06F9/547 , G06F3/167 , G06F40/166 , G06F40/35 , G10L15/22 , G10L15/26 , G10L2015/223
摘要： Implementations set forth herein relate to an automated assistant that can be invoked while a user is interfacing with a foreground application in order to retrieve data from one or more different applications, and then provide the retrieved data to the foreground application. A user can invoke the automated assistant while operating the foreground application by providing a spoken utterance, and the automated assistant can select one or more other applications to query based on content of the spoken utterance. Application data collected by the automated assistant from the one or more other applications can then be used to provide an input to the foreground application. In this way, the user can bypass switching between applications in the foreground in order to retrieve data that has been generated by other applications.
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2.发明公开公开(公告)号：US20240185857A1
公开(公告)日：2024-06-06
申请号：US18439411
申请日：2024-02-12
申请人： GOOGLE LLC
发明人： Denis Burakov , Behshad Behzadi , Mario Bertschlewr , Bohdan Vlasyuk , Daniel Cotting , Michael Golikov , Lucas Mirelmann , Steve Cheng , Sergey Nazarov , Zaheed Sabur , Marcin Nowak-Przygodzki , Mugurel Ionut Andreica , Radu Voroneanu
CPC分类号： G10L15/26 , G06F3/167 , G10L15/22 , G10L2015/223
摘要： Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.
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公开(公告)号：US20220157317A1
公开(公告)日：2022-05-19
申请号：US17588481
申请日：2022-01-31
申请人： Google LLC
发明人： Denis Burakov , Behshad Behzadi , Mario Bertschler , Bohdan Vlasyuk , Daniel Cotting , Michael Golikov , Lucas Mirelmann , Steve Cheng , Sergey NAZAROV , Zaheed Sabur , Marcin Nowak-Przygodzki , Mugurel Ionut Andreica , Radu Voroneanu
摘要： Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.
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公开(公告)号：US11222637B2
公开(公告)日：2022-01-11
申请号：US16613705
申请日：2019-05-31
申请人： Google LLC
发明人： Lucas Mirelmann , Zaheed Sabur , Bohdan Vlasyuk , Marie Patriarche Bledowski , Sergey Nazarov , Denis Burakov , Behshad Behzadi , Michael Golikov , Steve Cheng , Daniel Cotting , Mario Bertschler
摘要： Implementations herein relate to pre-caching data, corresponding to predicted interactions between a user and an automated assistant, using data characterizing previous interactions between the user and the automated assistant. An interaction can be predicted based on details of a current interaction between the user and an automated assistant. One or more predicted interactions can be initialized, and/or any corresponding data pre-cached, prior to the user commanding the automated assistant in furtherance of the predicted interaction. Interaction predictions can be generated using a user-parameterized machine learning model, which can be used when processing input(s) that characterize a recent user interaction with the automated assistant. Should the user command the automated assistant in a way that is aligned with a pre-cached, predicted interaction, the automated assistant will exhibit instant fulfillment of the command, thereby eliminating any latency that the user would have otherwise experienced interacting with the automated assistant.
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5.发明授权公开(公告)号：US12073835B2
公开(公告)日：2024-08-27
申请号：US18241745
申请日：2023-09-01
申请人： GOOGLE LLC
发明人： Denis Burakov , Sergey Nazarov , Behshad Behzadi , Mario Bertschler , Bohdan Vlasyuk , Daniel Cotting , Michael Golikov , Lucas Mirelmann , Steve Cheng , Zaheed Sabur , Okan Kolak , Yan Zhong , Vinh Quoc Ly
CPC分类号： G10L15/22 , G06F3/167 , G10L2015/223 , G10L2015/227
摘要： Implementations set forth herein allow a user to access a first application in a foreground of a graphical interface, and simultaneously employ an automated assistant to respond to notifications arising from a second application. The user can provide an input, such as a spoken utterance, while viewing the first application in the foreground in order to respond to notifications from the second application without performing certain intervening steps that can arise under certain circumstances. Such intervening steps can include providing a user confirmation, which can be bypassed, and/or time-limited according to a timer, which can be displayed in response to the user providing a responsive input directed at the notification. A period for the timer can be set according to one or more characteristics that are associated with the notification, the user, and/or any other information that can be associated with the user receiving the notification.
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公开(公告)号：US11996102B2
公开(公告)日：2024-05-28
申请号：US18202236
申请日：2023-05-25
申请人： GOOGLE LLC
发明人： Lucas Mirelmann , Zaheed Sabur , Bohdan Vlasyuk , Marie Patriarche Bledowski , Sergey Nazarov , Denis Burakov , Behshad Behzadi , Michael Golikov , Steve Cheng , Daniel Cotting , Mario Bertschler
CPC分类号： G10L15/22 , G10L15/083
摘要： Implementations relate to receiving natural language input that requests an automated assistant to provide information and processing the natural language input to identify the requested information and to identify one or more predicted actions. Those implementations further cause a computing device, at which the natural language input is received, to render the requested information and the one or more predicted actions in response to the natural language input. Yet further, those implementations, in response to the user confirming a rendered predicted action, cause the automated assistant to initialize the predicted action.
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7.发明授权公开(公告)号：US11631412B2
公开(公告)日：2023-04-18
申请号：US17521131
申请日：2021-11-08
申请人： Google LLC
发明人： Daniel Cotting , Zaheed Sabur , Lan Huo , Bryan Christopher Horling , Behshad Behzadi , Lucas Mirelmann , Michael Golikov , Denis Burakov , Steve Cheng , Bohdan Vlasyuk , Sergey Nazarov , Mario Bertschler , Luv Kothari
IPC分类号： G10L15/22 , G06F3/16 , G10L15/18 , G10L15/30 , H04L29/08 , H04L29/06 , H04L67/568 , H04L67/01
摘要： Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.
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公开(公告)号：US20220130385A1
公开(公告)日：2022-04-28
申请号：US17569811
申请日：2022-01-06
申请人： GOOGLE LLC
发明人： Lucas Mirelmann , Zaheed Sabur , Bohdan Vlasyuk , Marie Patriarche Bledowski , Sergey NAZAROV , Denis Burakov , Behshad Behzadi , Michael Golikov , Steve CHENG , Daniel Cotting , Mario Bertschler
摘要： Implementations herein relate to pre-caching data, corresponding to predicted interactions between a user and an automated assistant, using data characterizing previous interactions between the user and the automated assistant. An interaction can be predicted based on details of a current interaction between the user and an automated assistant. One or more predicted interactions can be initialized, and/or any corresponding data pre-cached, prior to the user commanding the automated assistant in furtherance of the predicted interaction. Interaction predictions can be generated using a user-parameterized machine learning model, which can be used when processing input(s) that characterize a recent user interaction with the automated assistant. Should the user command the automated assistant in a way that is aligned with a pre-cached, predicted interaction, the automated assistant will exhibit instant fulfillment of the command, thereby eliminating any latency that the user would have otherwise experienced interacting with the automated assistant.
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公开(公告)号：US11972307B2
公开(公告)日：2024-04-30
申请号：US17049696
申请日：2019-08-06
申请人： GOOGLE LLC
发明人： Bohdan Vlasyuk , Behshad Behzadi , Mario Bertschler , Denis Burakov , Daniel Cotting , Michael Golikov , Lucas Mirelmann , Steve Cheng , Sergey Nazarov , Zaheed Sabur , Jonathan Lee , Lucia Terrenghi , Adrian Zumbrunnen
CPC分类号： G06F9/547 , G06F3/167 , G06F40/166 , G06F40/35 , G10L15/22 , G10L15/26 , G10L2015/223
摘要： Implementations set forth herein relate to an automated assistant that can be invoked while a user is interfacing with a foreground application in order to retrieve data from one or more different applications, and then provide the retrieved data to the foreground application. A user can invoke the automated assistant while operating the foreground application by providing a spoken utterance, and the automated assistant can select one or more other applications to query based on content of the spoken utterance. Application data collected by the automated assistant from the one or more other applications can then be used to provide an input to the foreground application. In this way, the user can bypass switching between applications in the foreground in order to retrieve data that has been generated by other applications.
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10.发明公开公开(公告)号：US20230410804A1
公开(公告)日：2023-12-21
申请号：US18241745
申请日：2023-09-01
申请人： GOOGLE LLC
发明人： Denis Burakov , Sergey Nazarov , Behshad Behzadi , Mario Bertschler , Bohdan Vlasyuk , Daniel Cotting , Michael Golikov , Lucas Mirelmann , Steve Cheng , Zaheed Sabur , Okan Kolak , Yan Zhong , Vinh Quoc Ly
CPC分类号： G10L15/22 , G06F3/167 , G10L2015/223 , G10L2015/227
摘要： Implementations set forth herein allow a user to access a first application in a foreground of a graphical interface, and simultaneously employ an automated assistant to respond to notifications arising from a second application. The user can provide an input, such as a spoken utterance, while viewing the first application in the foreground in order to respond to notifications from the second application without performing certain intervening steps that can arise under certain circumstances. Such intervening steps can include providing a user confirmation, which can be bypassed, and/or time-limited according to a timer, which can be displayed in response to the user providing a responsive input directed at the notification. A period for the timer can be set according to one or more characteristics that are associated with the notification, the user, and/or any other information that can be associated with the user receiving the notification.
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