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    People suggester using historical interactions on a device
    3.
    发明授权
    People suggester using historical interactions on a device 有权

    公开(公告)号：US11556546B2

    公开(公告)日：2023-01-17

    申请号：US16835075

    申请日：2020-03-30

    申请人： Apple Inc.

    发明人： Saeed Abbasi Moghaddam ,  Joao Pedro Lacerda ,  Joseph E. Meyer ,  Chiraag Sumanth

    IPC分类号： G06F16/2457 ,  G06F3/04817 ,  G06F3/0482 ,  H04M1/72454 ,  H04M1/72472 ,  G06F16/248

    摘要： Systems and methods can suggest applications and/or recipients for a user of a computing device to perform communication. The suggestions can be provided on a user interface for a user to select. A suggestion engine can use historical user interactions that include a recipient, a communication application used to communicate with the recipient, and contextual data to determine which application and/or recipients to suggest. The user interactions may occur in a variety of ways, e.g., after a content object has been selected within a host application, where a communication application is selected thereafter. Multiple models may be used to provide the suggestions, such as a pattern model or a cluster model that uses recent user interactions. As another example, a heuristics model may also be used.

    SHARING ROUTINE FOR SUGGESTING APPLICATIONS TO SHARE CONTENT FROM HOST APPLICATION
    4.
    发明申请
    SHARING ROUTINE FOR SUGGESTING APPLICATIONS TO SHARE CONTENT FROM HOST APPLICATION 审中-公开

    公开(公告)号：US20200382568A1

    公开(公告)日：2020-12-03

    申请号：US16573930

    申请日：2019-09-17

    申请人： Apple Inc.

    发明人： Marc J. Krochmal ,  John J. Iarocci ,  Joseph E. Meyer ,  Chiraag Sumanth ,  Joao Pedro Lacerda ,  Jacob Klapper

    IPC分类号： H04L29/06 ,  H04L29/08

    摘要： Content objects may be selected for sharing and shared across devices using a sharing routine and suggestion engine to provide suggestions of target applications to share the content objects and recipients with whom the content objects may be shared. A sharing routine may receive and analyze a sharing request and invoke a suggestion engine configured to generate application suggestions and/or recipient suggestions. The sharing routine may receive sets of application suggestions and/or recipient suggestions from a suggestion engine, modify and/or select subsets of the suggestions to be provided to user via a sharing user interface. In response to a user selection of applications and/or recipient via the user interface, the sharing routine may invoke the selected application for sharing, and provide the content object to the selected application.

    Predictive routing based on microlocation
    6.
    发明授权
    Predictive routing based on microlocation 有权

    公开(公告)号：US11490316B2

    公开(公告)日：2022-11-01

    申请号：US17180558

    申请日：2021-02-19

    申请人： Apple Inc.

    发明人： Alexander D. Palmer ,  Jahshan A. Bhatti ,  Joao Pedro Lacerda ,  John L. Blatz ,  Joseph E. Meyer ,  Adam A. Sonnanstine

    IPC分类号： H04W24/00 ,  H04W40/20 ,  H04W40/24 ,  H04N21/258 ,  H04W4/029 ,  H04W64/00

    摘要： Techniques are disclosed for predictive media streaming using microlocation. Microlocations of a mobile device can be determined by measuring one or more sensor values at one or more times, the one or more sensor values are determined from one or more signals emitted by a corresponding one or more signal sources. Streaming events can be stored at the mobile device. Each streaming event may include a destination device for playing media and a cluster location, the cluster location corresponding to sensor values that are spatially near each other. A selection of a media item is detected and one or more current sensor values are measured. A current cluster location can be identified using the one or more current sensor value. The current cluster location and the streaming events can identify a particular destination device for playing the selected media item.

    PREDICTIVE ROUTING BASED ON MICROLOCATION
    7.
    发明申请
    PREDICTIVE ROUTING BASED ON MICROLOCATION 有权

    公开(公告)号：US20210235361A1

    公开(公告)日：2021-07-29

    申请号：US17180558

    申请日：2021-02-19

    申请人： Apple Inc.

    发明人： Alexander D. Palmer ,  Jahshan A. Bhatti ,  Joao Pedro Lacerda ,  John L. Blatz ,  Joseph E. Meyer ,  Adam A. Sonnanstine

    IPC分类号： H04W40/20 ,  H04W40/24 ,  H04N21/258 ,  H04W4/029 ,  H04W64/00

    摘要： Techniques are disclosed for predictive media streaming using microlocation. Microlocations of a mobile device can be determined by measuring one or more sensor values at one or more times, the one or more sensor values are determined from one or more signals emitted by a corresponding one or more signal sources. Streaming events can be stored at the mobile device. Each streaming event may include a destination device for playing media and a cluster location, the cluster location corresponding to sensor values that are spatially near each other. A selection of a media item is detected and one or more current sensor values are measured. A current cluster location can be identified using the one or more current sensor value. The current cluster location and the streaming events can identify a particular destination device for playing the selected media item.

    PEOPLE SUGGESTER USING HISTORICAL INTERACTIONS ON A DEVICE
    8.
    发明申请
    PEOPLE SUGGESTER USING HISTORICAL INTERACTIONS ON A DEVICE 审中-公开

    公开(公告)号：US20200380003A1

    公开(公告)日：2020-12-03

    申请号：US16835075

    申请日：2020-03-30

    申请人： Apple Inc.

    发明人： Saeed Abbasi Moghaddam ,  Joao Pedro Lacerda ,  Joseph E. Meyer ,  Chiraag Sumanth

    IPC分类号： G06F16/2457 ,  G06F16/248 ,  G06F3/0482 ,  G06F3/0481 ,  H04M1/725

    摘要： Systems and methods can suggest applications and/or recipients for a user of a computing device to perform communication. The suggestions can be provided on a user interface for a user to select. A suggestion engine can use historical user interactions that include a recipient, a communication application used to communicate with the recipient, and contextual data to determine which application and/or recipients to suggest. The user interactions may occur in a variety of ways, e.g., after a content object has been selected within a host application, where a communication application is selected thereafter. Multiple models may be used to provide the suggestions, such as a pattern model or a cluster model that uses recent user interactions. As another example, a heuristics model may also be used.