Contextual modeling using application metadata

    公开(公告)号:US11748662B2

    公开(公告)日:2023-09-05

    申请号:US17958872

    申请日:2022-10-03

    Inventor: Cheng Yu Yao

    CPC classification number: G06N20/00 G06F9/451 G06F11/3438 G06F3/0482

    Abstract: Provided is a system and method for building context from software applications and applying the context to visual settings in a graphical user interface. In one example, the method may include receiving an identification of actions performed by a user with respect to a user interface of a software application, receiving application metadata of the actions from the software application, the application metadata providing context associated with the actions, training one or more predictive models to predict user interface preferences for the user based on the actions and the application metadata, and storing the one or more trained predictive models via a storage device.

    CONTEXTUAL MODELING USING APPLICATION METADATA

    公开(公告)号:US20230022064A1

    公开(公告)日:2023-01-26

    申请号:US17958872

    申请日:2022-10-03

    Inventor: Cheng Yu Yao

    Abstract: Provided is a system and method for building context from software applications and applying the context to visual settings in a graphical user interface. In one example, the method may include receiving an identification of actions performed by a user with respect to a user interface of a software application, receiving application metadata of the actions from the software application, the application metadata providing context associated with the actions, training one or more predictive models to predict user interface preferences for the user based on the actions and the application metadata, and storing the one or more trained predictive models via a storage device.

    Contextual modeling using application metadata

    公开(公告)号:US11461697B2

    公开(公告)日:2022-10-04

    申请号:US16432203

    申请日:2019-06-05

    Inventor: Cheng Yu Yao

    Abstract: Provided is a system and method for building context from software applications and applying the context to visual settings in a graphical user interface. In one example, the method may include receiving an identification of actions performed by a user with respect to a user interface of a software application, receiving application metadata of the actions from the software application, the application metadata providing context associated with the actions, training one or more predictive models to predict user interface preferences for the user based on the actions and the application metadata, and storing the one or more trained predictive models via a storage device.

Patent Agency Ranking