Systems and methods for private local sponsored content

    公开(公告)号:US11087362B2

    公开(公告)日:2021-08-10

    申请号:US16694691

    申请日:2019-11-25

    Applicant: Google LLC

    Abstract: Systems and methods are shown for providing private local sponsored content selection and improving intelligence models through distribution among mobile devices. This allows greater data gathering capabilities through the use of the sensors of the mobile devices as well as data stored on data storage components of the mobile devices to create predicted models while offering better opportunities to preserve privacy. Locally stored profiles comprising machine intelligence models may also be used to determine the relevance of the data gathered and in improving an aggregated model for identifying the relevance of data and the selection of sponsored content items. Distributed optimization is used in conjunction with privacy techniques to create the improved machine intelligence models. Publishers may also benefit from the improved privacy by protecting the statistics of type or volume of sponsored content items shown with publisher content.

    Providing a set of user input actions to a mobile device to cause performance of the set of user input actions

    公开(公告)号:US10248440B1

    公开(公告)日:2019-04-02

    申请号:US15783390

    申请日:2017-10-13

    Applicant: GOOGLE LLC

    Abstract: Systems and methods are provided for automating user input using onscreen content. For example, a method includes receiving a selection of a first screen capture image representing a screen captured on a mobile device associated with a user, the first image having a first timestamp. The method also includes determining, using a data store of images of previously captured screens of the mobile device, a reference image from the data store that has a timestamp prior to the first timestamp, identifying a plurality of images in the data store that have respective timestamps between the timestamp for the reference image and the first timestamp, and providing the reference image, the plurality of images, and the first image to the mobile device.

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