公开(公告)号：US11568146B2

公开(公告)日：2023-01-31

申请号：US16605838

申请日：2019-09-10

Applicant: Google LLC

Inventor： Sharon Stovezky ,  Yariv Adan ,  Radu Voroneanu ,  Behshad Behzadi ,  Ragnar Groot Koerkamp ,  Marcin Nowak-Przygodzki

IPC: G06F40/295 ,  G06F16/9537

Abstract: Implementations set forth herein relate to an automated assistant that operates according to a variety of different location-based biasing modes for rendering responsive content for a user and/or proactively suggesting content for the user. The user can provide condensed spoken utterances to the automated assistant, when the automated assistant is operating according to one or more location-based biasing modes, but nonetheless receive accurate responsive outputs from the automated assistant. A responsive output generated by biasing toward a subset of location characteristic data that has been prioritized over other subsets of location characteristic data. The biasing allows the automated assistant to compensate for any details that may be missing from a spoken utterance, but allows the user to provide shorter spoken utterances, thereby reducing an amount of language processing when processing inputs from the user.

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

IPC: G10L15/22 ,  G10L15/26 ,  G06F3/16

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.