PEOPLE SUGGESTER USING HISTORICAL INTERACTIONS ON A DEVICE

    公开(公告)号:US20200380003A1

    公开(公告)日:2020-12-03

    申请号:US16835075

    申请日:2020-03-30

    Applicant: Apple Inc.

    Abstract: 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.

    Feature determination for machine learning to suggest applications/recipients

    公开(公告)号:US11507863B2

    公开(公告)日:2022-11-22

    申请号:US16880408

    申请日:2020-05-21

    Applicant: Apple Inc.

    Abstract: Systems and methods can suggest applications for use by a user of a computing device. The suggestions can be provided on a user interface for the user to select. A suggestion engine can use historical user interactions and contextual data to derive features for a machine learning mode. The machine learning model can determine which application to suggest according to the current context. Multiple models, such as a pattern model and a heuristics model, may be user to generate features for the machine learning model based in user interactions.

    FEATURE DETERMINATION FOR MACHINE LEARNING TO SUGGEST APPLICATIONS/RECIPIENTS

    公开(公告)号:US20210365806A1

    公开(公告)日:2021-11-25

    申请号:US16880408

    申请日:2020-05-21

    Applicant: Apple Inc.

    Abstract: Systems and methods can suggest applications for use by a user of a computing device. The suggestions can be provided on a user interface for the user to select. A suggestion engine can use historical user interactions and contextual data to derive features for a machine learning mode. The machine learning model can determine which application to suggest according to the current context. Multiple models, such as a pattern model and a heuristics model, may be user to generate features for the machine learning model based in user interactions.

    People suggester using historical interactions on a device

    公开(公告)号:US11556546B2

    公开(公告)日:2023-01-17

    申请号:US16835075

    申请日:2020-03-30

    Applicant: Apple Inc.

    Abstract: 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

    公开(公告)号:US20200382568A1

    公开(公告)日:2020-12-03

    申请号:US16573930

    申请日:2019-09-17

    Applicant: Apple Inc.

    Abstract: 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.

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