公开(公告)号：US20190095786A1

公开(公告)日：2019-03-28

申请号：US15716848

申请日：2017-09-27

Applicant: Google Inc.

Inventor： Victor Carbune ,  Sandro Feuz

IPC: G06N3/08 ,  G06Q30/02 ,  G06N7/00

Abstract: Methods, systems, and apparatuses for implementing advanced content retrieval are described. Machine learning methods may be implemented so that a system may predict when a user device may experience network disconnections. The system may also predict the type of content one or more applications on the user device may seek to download during the network disconnection period. Neural networks may be trained based on user activity log data and may implement machine-learning techniques to determine user preferences and settings for advanced content retrieval. The system may predict when a user may want to download content in advance, the type of content the user may be interested in, anticipated network connectivity, and anticipated battery consumption. The system may then generate recommendations for the user device based on the predictions. If a user agrees with the recommendations, the system may obtain and cache the content.

公开(公告)号：US10439966B2

公开(公告)日：2019-10-08

申请号：US15436163

申请日：2017-02-17

Applicant: Google Inc.

Inventor： Sandro Feuz ,  Sebastian Millius

IPC: H04L12/58 ,  G06Q10/10 ,  H04L29/08

Abstract: This specification is generally directed to techniques for automatically transitioning applications—especially those that enable exchange of messages between users—into and/or out of a private state based on a variety of signals associated with the messages and/or the participants themselves. In various implementations, an ongoing message exchange thread between two or more participants operating two or more respective message exchange clients may be examined. Based at least in part on the examining, a likelihood may be determined that message(s) directed by one of the participants to another of the participants as part of the ongoing message exchange thread would be deemed private by at least a given participant of the two or more participants. A determination may be made of whether the determined likelihood satisfies one or more thresholds, and in response, one or more of the message exchange clients may be transitioned into a private state.

公开(公告)号：US20180182397A1

公开(公告)日：2018-06-28

申请号：US15387884

申请日：2016-12-22

Applicant: Google Inc.

Inventor： Victor Carbune ,  Pedro Gonnet Anders ,  Thomas Deselaers ,  Sandro Feuz

IPC: G10L15/30 ,  G10L15/08 ,  G10L15/22 ,  G10L13/08 ,  G10L25/51

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collaboration between multiple voice controlled devices are disclosed. In one aspect, a method includes the actions of identifying, by a first computing device, a second computing device that is configured to respond to a particular, predefined hotword; receiving audio data that corresponds to an utterance; receiving a transcription of additional audio data outputted by the second computing device in response to the utterance; based on the transcription of the additional audio data and based on the utterance, generating a transcription that corresponds to a response to the additional audio data; and providing, for output, the transcription that corresponds to the response.

公开(公告)号：US11416764B2

公开(公告)日：2022-08-16

申请号：US15412510

申请日：2017-01-23

Applicant: Google Inc.

Inventor： Sebastian Millius ,  Sandro Feuz

IPC: G06N20/00 ,  H04L67/12 ,  G07C1/00 ,  G06Q10/10 ,  H04L67/50

Abstract: Automatically generating and/or automatically transmitting a status of a user. The status is transmitted for presentation to one or more additional users via corresponding computing device(s) of the additional user(s). Some implementations are directed to determining both: a status of a user, and a predicted duration of that status; and generating a status notification that includes the status and that indicates the predicted duration. Some implementations are additionally or alternatively directed to utilizing at least one trust criterion in determining whether to provide a status notification of a user to an additional user and/or in determining what status notification to provide to the additional user. Some implementations are additionally or alternatively directed to training and/or use of machine learning model(s) in determining a status of a user and/or a predicted duration of that status.

公开(公告)号：US10083006B1

公开(公告)日：2018-09-25

申请号：US15702164

申请日：2017-09-12

Applicant: Google Inc.

Inventor： Sandro Feuz ,  Sebastian Millius ,  Jan Althaus

IPC: G10L21/00 ,  G06F3/16 ,  G10L15/22 ,  H04L29/08

CPC classification number: G06F3/167 ,  G06F17/27 ,  G06N3/084 ,  G06N7/005 ,  G06N20/00 ,  G10L15/22 ,  G10L15/26 ,  G10L25/51 ,  G10L2015/225 ,  H04L67/141 ,  H04L67/18 ,  H04W4/12

Abstract: Techniques are described related to improved intercom-style communication using a plurality of computing devices distributed about an environment. In various implementations, voice input may be received, e.g., at a microphone of a first computing device of multiple computing devices, from a first user. The voice input may be analyzed and, based on the analyzing, it may be determined that the first user intends to convey a message to a second user. A location of the second user relative to the multiple computing devices may be determined, so that, based on the location of the second user, a second computing device may be selected from the multiple computing devices that is capable of providing audio or visual output that is perceptible to the second user. The second computing device may then be operated to provide audio or visual output that conveys the message to the second user.

公开(公告)号：US11494631B2

公开(公告)日：2022-11-08

申请号：US15716848

申请日：2017-09-27

Applicant: Google Inc.

Inventor： Victor Carbune ,  Sandro Feuz

IPC: G06N3/08 ,  G06N7/00 ,  G06Q30/02 ,  H04L67/289 ,  H04L67/50 ,  H04L67/5681 ,  G06N3/04 ,  H04L67/60

Abstract: Methods, systems, and apparatuses for implementing advanced content retrieval are described. Machine learning methods may be implemented so that a system may predict when a user device may experience network disconnections. The system may also predict the type of content one or more applications on the user device may seek to download during the network disconnection period. Neural networks may be trained based on user activity log data and may implement machine-learning techniques to determine user preferences and settings for advanced content retrieval. The system may predict when a user may want to download content in advance, the type of content the user may be interested in, anticipated network connectivity, and anticipated battery consumption. The system may then generate recommendations for the user device based on the predictions. If a user agrees with the recommendations, the system may obtain and cache the content.

公开(公告)号：US20180241703A1

公开(公告)日：2018-08-23

申请号：US15436163

申请日：2017-02-17

Applicant: Google Inc.

Inventor： Sandro Feuz ,  Sebastian Millius

IPC: H04L12/58

CPC classification number: H04L51/063 ,  G06Q10/10 ,  G06Q10/107 ,  H04L51/04 ,  H04L51/16 ,  H04L51/32 ,  H04L67/22

Abstract: This specification is generally directed to techniques for automatically transitioning applications—especially those that enable exchange of messages between users—into and/or out of a private state based on a variety of signals associated with the messages and/or the participants themselves. In various implementations, an ongoing message exchange thread between two or more participants operating two or more respective message exchange clients may be examined. Based at least in part on the examining, a likelihood may be determined that message(s) directed by one of the participants to another of the participants as part of the ongoing message exchange thread would be deemed private by at least a given participant of the two or more participants. A determination may be made of whether the determined likelihood satisfies one or more thresholds, and in response, one or more of the message exchange clients may be transitioned into a private state.

公开(公告)号：US20180211178A1

公开(公告)日：2018-07-26

申请号：US15412510

申请日：2017-01-23

Applicant: Google Inc.

Inventor： Sebastian Millius ,  Sandro Feuz

IPC: G06N99/00

CPC classification number: G06N20/00 ,  G06Q10/10 ,  G07C1/00 ,  H04L67/12 ,  H04L67/22

Abstract: Automatically generating and/or automatically transmitting a status of a user. The status is transmitted for presentation to one or more additional users via corresponding computing device(s) of the additional user(s). Some implementations are directed to determining both: a status of a user, and a predicted duration of that status; and generating a status notification that includes the status and that indicates the predicted duration. Some implementations are additionally or alternatively directed to utilizing at least one trust criterion in determining whether to provide a status notification of a user to an additional user and/or in determining what status notification to provide to the additional user. Some implementations are additionally or alternatively directed to training and/or use of machine learning model(s) in determining a status of a user and/or a predicted duration of that status.

公开(公告)号：US20190082046A1

公开(公告)日：2019-03-14

申请号：US15698734

申请日：2017-09-08

Applicant: Google Inc.

Inventor： Victor Carbune ,  Sandro Feuz

IPC: H04M1/725 ,  G06F17/30

CPC classification number: H04M1/72566 ,  G06F16/245 ,  G06F16/951 ,  G06F16/9574 ,  G06Q20/145 ,  H04L67/06 ,  H04L67/2847 ,  H04L67/32 ,  H04M1/72569 ,  H04M2201/42 ,  H04M2215/0116 ,  H04M2242/14 ,  H04M2242/28

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for implementing advanced information retrieval are described. A user may provide fetching parameter values to acquire content. The system may determine whether or not the user-provided fetching parameter values can be satisfied. If the fetching parameters can be satisfied, the system obtains and caches the information.