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公开(公告)号:US20220059093A1
公开(公告)日:2022-02-24
申请号:US17521131
申请日:2021-11-08
Applicant: Google LLC
Inventor: 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
Abstract: 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:US11238868B2
公开(公告)日:2022-02-01
申请号:US16614224
申请日:2019-06-13
Applicant: Google LLC
Inventor: 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
Abstract: 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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