Systems and methods for generating adapted content depictions

    公开(公告)号:US11330315B2

    公开(公告)日:2022-05-10

    申请号:US16838688

    申请日:2020-04-02

    Abstract: A method for generating a content depiction of particular content that includes a machine learning system programmed to receive profile data representing preferences for content. The machine learning system identifies preferences for content features based upon the profile data, accesses content data representing the particular content and other content, and classifies features of the content data and content structure data within a content structure database system according to content categories. The machine learning system generates a content structure depiction of the particular content by combining content structure data from the content structure database system, wherein the combining is based upon correlating the identified preferences of the profile with the classified content categories. The machine learning system receives feedback data responsive to the content depiction and reprograms a configuration of the machine learning system for generating a content depiction based upon the feedback data.

    SYSTEMS AND METHODS FOR MONITORING LIGHT EMISSIONS OF ELECTRONIC DEVICES

    公开(公告)号:US20210312844A1

    公开(公告)日:2021-10-07

    申请号:US17349044

    申请日:2021-06-16

    Abstract: Systems and methods are disclosed herein for monitoring light emissions in electronic devices. The disclosed techniques herein provide for determining a display duration of display devices for a user. Light emission profiles for each of the display devices are determined. A cumulative emissions exposure is determined that is based on the light emission profiles for the display devices and the display duration of the display devices for the user. A determination is made whether the cumulative emissions exposure exceeds a light emission exposure limit set for the user. In a positive determination, an instruction is transmitted to the display devices for execution of a remedial action based on predefined rules.

    SYSTEMS AND METHODS TO AUTO DOWNLOAD APPLICATIONS FROM A WEBSITE BASED ON USER CONTEXT

    公开(公告)号:US20210303285A1

    公开(公告)日:2021-09-30

    申请号:US16832862

    申请日:2020-03-27

    Abstract: Systems and methods for temporarily downloading an application program from a website are disclosed herein. The website provides a feature set corresponding to an anticipated user activity and a downloadable application program. The anticipated user activity is identified based on user data corresponding to future activities of a user. A correspondence between the anticipated user activity and the website is determined and the application program is retrieved from the website and installed on the user device. In response to detecting absence of a user interaction with the application program on the user device within a predefined time period, the application program is automatically uninstalled from the user device.

    SYSTEMS AND METHODS FOR GENERATING ADAPTED CONTENT DEPICTIONS

    公开(公告)号:US20210266637A1

    公开(公告)日:2021-08-26

    申请号:US16838687

    申请日:2020-04-02

    Abstract: A method for generating an image depiction of particular content that includes a machine learning system programmed to receive profile data representing preferences for content. The machine learning system identifies preferences for content features based upon the profile data, accesses content data representing the particular content and other content, and classifies features of the content data and image data within an image database system according to content categories. The machine learning system generates an image depiction of the particular content by combining image data from the image database system, wherein the combining is based upon correlating the identified preferences of the profile with the classified content categories. The machine learning system receives feedback data responsive to the image depiction and reprograms a configuration of the machine learning system for generating an image depiction based upon the feedback data.

    SYSTEMS AND METHODS FOR GENERATING ADAPTED CONTENT DEPICTIONS

    公开(公告)号:US20210266619A1

    公开(公告)日:2021-08-26

    申请号:US16838688

    申请日:2020-04-02

    Abstract: A method for generating a content depiction of particular content that includes a machine learning system programmed to receive profile data representing preferences for content. The machine learning system identifies preferences for content features based upon the profile data, accesses content data representing the particular content and other content, and classifies features of the content data and content structure data within a content structure database system according to content categories. The machine learning system generates a content structure depiction of the particular content by combining content structure data from the content structure database system, wherein the combining is based upon correlating the identified preferences of the profile with the classified content categories. The machine learning system receives feedback data responsive to the content depiction and reprograms a configuration of the machine learning system for generating a content depiction based upon the feedback data.

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