Message suggestions
    1.
    发明授权

    公开(公告)号:US11252114B2

    公开(公告)日:2022-02-15

    申请号:US15844082

    申请日:2017-12-15

    Applicant: Google LLC

    Abstract: A method may involve, for each of one or more messages that are selected from a plurality of messages from an account: (a) extracting one or more phrases from a respective selected message; (b) determining that a conversation includes the respective selected message and one or more other messages from the plurality of messages; (c) generating a first feature vector based on the conversation, wherein the first feature vector includes one or more first features, wherein the one or more first features include one or more words from the conversation; and (d) generating, by a computing system, one or more training-data sets, wherein each training-data set comprises one of the phrases and the first feature vector. The method may further involve: training, by the computing system, a machine-learning application with at least a portion of the one or more training-data sets that are generated for the one or more selected messages; applying the trained machine-learning application to process an incoming message to the account; and responsive to applying the trained machine-learning application, determining one or more reply messages corresponding to the incoming message, wherein the one or more reply messages include at least one of the extracted one or more phrases.

    Message Suggestions
    2.
    发明申请

    公开(公告)号:US20220131819A1

    公开(公告)日:2022-04-28

    申请号:US17570927

    申请日:2022-01-07

    Applicant: Google LLC

    Abstract: A method may involve, for each of one or more messages that are selected from a plurality of messages from an account: (a) extracting one or more phrases from a respective selected message; (b) determining that a conversation includes the respective selected message and one or more other messages from the plurality of messages; (c) generating a first feature vector based on the conversation, wherein the first feature vector includes one or more first features, wherein the one or more first features include one or more words from the conversation; and (d) generating, by a computing system, one or more training-data sets, wherein each training-data set comprises one of the phrases and the first feature vector. The method may further involve: training, by the computing system, a machine-learning application with at least a portion of the one or more training-data sets that are generated for the one or more selected messages; applying the trained machine-learning application to process an incoming message to the account; and responsive to applying the trained machine-learning application, determining one or more reply messages corresponding to the incoming message, wherein the one or more reply messages include at least one of the extracted one or more phrases.

    Methods and systems for hands-free browsing in a wearable computing device

    公开(公告)号:US10114466B2

    公开(公告)日:2018-10-30

    申请号:US15238135

    申请日:2016-08-16

    Applicant: Google LLC

    Abstract: Methods and systems for hands-free browsing in a wearable computing device are provided. A wearable computing device may provide for display a view of a first card of a plurality of cards which include respective virtual displays of content. The wearable computing device may determine a first rotation of the wearable computing device about a first axis and one or more eye gestures. Based on a combination of the first rotation and the eye gestures, the wearable computing device may provide for display the navigable menu, which may include an alternate view of the first card and at least a portion of one or more cards. Then, based on a determined second rotation of the wearable computing device about a second axis and based on a direction of the second rotation, the wearable computing device may generate a display indicative of navigation through the navigable menu.

    Message Suggestions
    4.
    发明申请
    Message Suggestions 审中-公开

    公开(公告)号:US20180109476A1

    公开(公告)日:2018-04-19

    申请号:US15844082

    申请日:2017-12-15

    Applicant: Google LLC

    CPC classification number: H04L51/046 G06N20/00 H04L51/02

    Abstract: A method may involve, for each of one or more messages that are selected from a plurality of messages from an account: (a) extracting one or more phrases from a respective selected message; (b) determining that a conversation includes the respective selected message and one or more other messages from the plurality of messages; (c) generating a first feature vector based on the conversation, wherein the first feature vector includes one or more first features, wherein the one or more first features include one or more words from the conversation; and (d) generating, by a computing system, one or more training-data sets, wherein each training-data set comprises one of the phrases and the first feature vector. The method may further involve: training, by the computing system, a machine-learning application with at least a portion of the one or more training-data sets that are generated for the one or more selected messages; applying the trained machine-learning application to process an incoming message to the account; and responsive to applying the trained machine-learning application, determining one or more reply messages corresponding to the incoming message, wherein the one or more reply messages include at least one of the extracted one or more phrases.

    MESSAGE SUGGESTIONS
    5.
    发明申请

    公开(公告)号:US20240414112A1

    公开(公告)日:2024-12-12

    申请号:US18737595

    申请日:2024-06-07

    Applicant: Google LLC

    Abstract: A method may involve, for each of one or more messages that are selected from a plurality of messages from an account: (a) extracting one or more phrases from a respective selected message; (b) determining that a conversation includes the respective selected message and one or more other messages from the plurality of messages; (c) generating a first feature vector based on the conversation, wherein the first feature vector includes one or more first features, wherein the one or more first features include one or more words from the conversation; and (d) generating, by a computing system, one or more training-data sets, wherein each training-data set comprises one of the phrases and the first feature vector. The method may further involve: training, by the computing system, a machine-learning application with at least a portion of the one or more training-data sets that are generated for the one or more selected messages; applying the trained machine-learning application to process an incoming message to the account; and responsive to applying the trained machine-learning application, determining one or more reply messages corresponding to the incoming message, wherein the one or more reply messages include at least one of the extracted one or more phrases.

    Message suggestions
    7.
    发明授权

    公开(公告)号:US12010079B2

    公开(公告)日:2024-06-11

    申请号:US17570927

    申请日:2022-01-07

    Applicant: Google LLC

    CPC classification number: H04L51/046 G06N20/00 H04L51/02

    Abstract: A method may involve, for each of one or more messages that are selected from a plurality of messages from an account: (a) extracting one or more phrases from a respective selected message; (b) determining that a conversation includes the respective selected message and one or more other messages from the plurality of messages; (c) generating a first feature vector based on the conversation, wherein the first feature vector includes one or more first features, wherein the one or more first features include one or more words from the conversation; and (d) generating, by a computing system, one or more training-data sets, wherein each training-data set comprises one of the phrases and the first feature vector. The method may further involve: training, by the computing system, a machine-learning application with at least a portion of the one or more training-data sets that are generated for the one or more selected messages; applying the trained machine-learning application to process an incoming message to the account; and responsive to applying the trained machine-learning application, determining one or more reply messages corresponding to the incoming message, wherein the one or more reply messages include at least one of the extracted one or more phrases.

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