ICONOGRAPHIC SYMBOL PREDICTIONS FOR A CONVERSATION

    公开(公告)号:US20180173692A1

    公开(公告)日:2018-06-21

    申请号:US15383753

    申请日:2016-12-19

    Applicant: Google Inc.

    Abstract: A computing device is described that outputs, for display, a graphical keyboard comprising a plurality of keys, determines, based at least in part on an indication of a selection of one or more keys from the plurality of keys, text of an electronic communication, and determines, based at least in part on the text, an implied user-expression that characterizes at least a portion of the text. The computing device generates a phrase of one or more iconographic symbols that represent the implied user-expression, and outputs, for display within the graphical keyboard, a graphical indication of the phrase.

    IMAGE SEARCH QUERY PREDICTIONS BY A KEYBOARD

    公开(公告)号:US20180039406A1

    公开(公告)日:2018-02-08

    申请号:US15246091

    申请日:2016-08-24

    Applicant: Google Inc.

    Abstract: A computing device is described that includes at least one processor and a memory including instructions that when executed cause the at least one processor to output, for display, a graphical keyboard comprising a plurality of keys, and determine, based on an indication of a selection of one or more keys from the plurality of keys, text of an electronic communication. The instructions, when executed, further cause the at least one processor to generate, based at least in part on the text, an image based search query, and output, for display, within the graphical keyboard, a graphical indication to indicate that the computing device generated the image based search query.

    Transitioning between private and non-private state

    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.

    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.

    TRANSITIONING BETWEEN PRIVATE AND NON-PRIVATE STATE

    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.

    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.

    AUTOMATIC GENERATION AND TRANSMISSION OF A STATUS OF A USER AND/OR PREDICTED DURATION OF THE STATUS

    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.

    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.

    Automatic generation and transmission of a status of a user and/or predicted duration of the status

    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.

    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.

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