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公开(公告)号：US20180083901A1
公开(公告)日：2018-03-22
申请号：US15709418
申请日：2017-09-19
Applicant: Google LLC
Inventor： John Patrick MCGREGOR, JR. , Ryan CASSIDY , Ariel FUXMAN , Vivek RAMAVAJJALA , Sujith RAVI , Sergey NAZAROV , Amit Fulay
CPC classification number: H04L51/10 , G06F3/04842 , G06K9/6202 , G06K9/6215 , G06K9/726 , H04L51/02 , H04L51/32
Abstract: Implementations relate to automatic response suggestions based on images received in messaging applications. In some implementations, a computer-executed method includes detecting a first image included within a first message received at a second device over a communication network from a first device of a first user, and programmatically analyzing the first image to extract a first image content. The method includes retrieving a first semantic concept associated with the first image content, programmatically generating a suggested response to the first message based on the first semantic concept, and transmitting instructions causing rendering of the suggested response in the messaging application as a suggestion to a second user of the second 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
Applicant: GOOGLE LLC
Inventor： Lucas Mirelmann , Zaheed Sabur , Bohdan Vlasyuk , Marie Patriarche Bledowski , Sergey NAZAROV , Denis Burakov , Behshad Behzadi , Michael Golikov , Steve CHENG , Daniel Cotting , Mario Bertschler
Abstract: 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：US20220157317A1
公开(公告)日：2022-05-19
申请号：US17588481
申请日：2022-01-31
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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Patent Agency Ranking
公开(公告)号：US20180295081A1
公开(公告)日：2018-10-11
申请号：US16003661
申请日：2018-06-08
Applicant: Google LLC
Inventor： John Patrick MCGREGOR, Jr. , Ryan CASSIDY , Ariel FUXMAN , Vivek RAMAVAJJALA , Sujith RAVI , Sergey NAZAROV , Amit FULAY
CPC classification number: H04L51/10 , G06F3/04842 , G06K9/6202 , G06K9/6215 , G06K9/726 , H04L51/02 , H04L51/32
Abstract: Implementations relate to automatic response suggestions based on images received in messaging applications. In some implementations, a computer-executed method includes detecting a first image included within a first message received at a second device over a communication network from a first device of a first user, and programmatically analyzing the first image to extract a first image content. The method includes retrieving a first semantic concept associated with the first image content, programmatically generating a suggested response to the first message based on the first semantic concept, and transmitting instructions causing rendering of the suggested response in the messaging application as a suggestion to a second user of the second device.
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公开(公告)号：US20190394153A1
公开(公告)日：2019-12-26
申请号：US16560815
申请日：2019-09-04
Applicant: Google LLC
Inventor： John Patrick MCGREGOR, JR. , Ryan CASSIDY , Ariel FUXMAN , Vivek RAMAVAJJALA , Sujith RAVI , Sergey NAZAROV , Amit FULAY
Abstract: Implementations relate to automatic response suggestions based on images received in messaging applications. In some implementations, a computer-executed method includes detecting a first image included within a first message received at a second device over a communication network from a first device of a first user, and programmatically analyzing the first image to extract a first image content. The method includes retrieving a first semantic concept associated with the first image content, programmatically generating a suggested response to the first message based on the first semantic concept, and transmitting instructions causing rendering of the suggested response in the messaging application as a suggestion to a second user of the second device.
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公开(公告)号：US20210216384A1
公开(公告)日：2021-07-15
申请号：US17049696
申请日：2019-08-06
Applicant: GOOGLE LLC
Inventor： 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
Abstract: 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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公开(公告)号：US20200382454A1
公开(公告)日：2020-12-03
申请号：US16999702
申请日：2020-08-21
Applicant: Google LLC
Inventor： Ori GERSHONY , Sergey NAZAROV , Rodrigo DE CASTRO , Erika PALMER , Daniel RAMAGE , Adam RODRIGUEZ , Andrei PASCOVICI
IPC: H04L12/58
Abstract: A messaging application may automatically analyze content of one or more messages and/or user information to automatically provide suggestions to a user within a messaging application. The suggestions may automatically incorporate particular non-messaging functionality into the messaging application. The automatic suggestions may suggest one or more appropriate responses to be selected by a user to respond in the messaging application, and/or may automatically send one or more appropriate responses on behalf of a user.
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公开(公告)号：US20200092243A1
公开(公告)日：2020-03-19
申请号：US16692821
申请日：2019-11-22
Applicant: Google LLC
Inventor： Timothy Seeds MILLIGAN , Hila SHEMER , Dennis KIILERICH , Gang JI , Ori GERSHONY , Sergey NAZAROV , Pranav KHAITAN , Sushant PRAKASH , Anton VOLKOV , Ricardo ESCUTIA , David CITRON
Abstract: A system and method for identifying an entity from a message exchange thread and generating a suggestion that is directed to the entity, such as a suggestion for a user to take an action on the entity. A suggestion application receives at least one electronic message from a message exchange thread, identifies an entity that can be actionable from the electronic message, determines contextual indicators of the entity, determines whether the entity is actionable based on the contextual indicators, and responsive to the entity being actionable, provides a suggestion that is directed to the entity to a participant(s) of the message exchange thread.
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