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    Suggesting actions based on machine learning
    1.
    发明授权
    Suggesting actions based on machine learning 有权

    公开(公告)号：US12204920B2

    公开(公告)日：2025-01-21

    申请号：US17808770

    申请日：2022-06-24

    Applicant: Google LLC

    Inventor： Golden Gopal Krishna ,  Carl Magnus Borg ,  Miroslav Bojic ,  Henry Owen Newton-Dunn ,  Jacob M. Klinker ,  Mindy Pereira ,  Devin Mancuso ,  Daniel June Hyung Park ,  Lily Sin

    IPC: G06F9/451 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/10 ,  G06F3/0482

    Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.

    Suggesting Actions Based on Machine Learning
    3.
    发明申请
    Suggesting Actions Based on Machine Learning 有权

    公开(公告)号：US20210004247A1

    公开(公告)日：2021-01-07

    申请号：US17027255

    申请日：2020-09-21

    Applicant: Google LLC

    Inventor： Golden Gopal Krishna ,  Carl Magnus Borg ,  Miroslav Bojic ,  Henry Owen Newton-Dunn ,  Jacob M. Klinker ,  Mindy Pereira ,  Devin Mancuso ,  Daniel June Hyung Park ,  Lily Sin

    IPC: G06F9/451 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/10

    Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.

    Task-Related Sorting, Application Discovery, and Unified Bookmarking for Application Managers
    4.
    发明申请
    Task-Related Sorting, Application Discovery, and Unified Bookmarking for Application Managers 审中-公开

    公开(公告)号：US20190188059A1

    公开(公告)日：2019-06-20

    申请号：US16112400

    申请日：2018-08-24

    Applicant: Google LLC

    Inventor： Golden Gopal Krishna ,  Carl Magnus Borg ,  Miroslav Bojic ,  Henry Owen Newton-Dunn ,  Jacob M. Klinker ,  Mindy Pereira ,  Devin Mancuso ,  Daniel June Hyung Park ,  Lily Sin

    IPC: G06F9/54 ,  G06F8/65 ,  G06F8/61 ,  G06F9/48

    Abstract: This document describes techniques and devices for task-related sorting, application discovery, and unified bookmarking for application managers. Through use of an application manager, multiple applications (including standalone applications, instant applications, websites, and other content) that a person can use to accomplish a single task, or multiple related tasks, are sorted into discrete groups for display in the application manager. The application manager can automatically recognize relationships between activities performed with the applications and recognize user actions with the applications that are related to the activities. Based on the relationships and user actions, the application manager can automatically determine that the activities and actions represent a task and display a task group that includes the applications that represent the task. The task groups may be visually displayed as a stack, strip, or pile of windows or thumbnails representing each application or other content the person could use for the task.

    Suggesting Actions Based on Machine Learning
    7.
    发明申请
    Suggesting Actions Based on Machine Learning 有权

    公开(公告)号：US20220318039A1

    公开(公告)日：2022-10-06

    申请号：US17808770

    申请日：2022-06-24

    Applicant: Google LLC

    Inventor： Golden Gopal Krishna ,  Carl Magnus Borg ,  Miroslav Bojic ,  Henry Owen Newton-Dunn ,  Jacob M. Klinker ,  Mindy Pereira ,  Devin Mancuso ,  Daniel June Hyung Park ,  Lily Sin

    IPC: G06F9/451 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/10

    Abstract: This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.

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