Screen capture image repository for a user

    公开(公告)号:US10244369B1

    公开(公告)日:2019-03-26

    申请号:US16131077

    申请日:2018-09-14

    Applicant: GOOGLE LLC

    Abstract: Systems and methods are provided for receiving a screen capture image from a client device, the screen capture image being generated responsive to a command from a user, and the screen capture image including content generated by an application. The method also includes saving the screen capture image in a data store of images. The data store of images is associated with a user profile of the user using the client device. The method also includes associating a timestamp with the screen capture image and receiving an expiration time for the screen capture image from the user. The screen capture image is available for display until the expiration time.

    Facial Recognition With Social Network Aiding

    公开(公告)号:US20180322147A1

    公开(公告)日:2018-11-08

    申请号:US16030316

    申请日:2018-07-09

    Applicant: Google LLC

    Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.

    SYSTEMS AND METHODS FOR PRIVATE LOCAL SPONSORED CONTENT

    公开(公告)号:US20230222551A1

    公开(公告)日:2023-07-13

    申请号:US18124174

    申请日:2023-03-21

    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.

    Systems and methods for private local sponsored content

    公开(公告)号:US11610231B2

    公开(公告)日:2023-03-21

    申请号:US17388708

    申请日:2021-07-29

    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.

    SYSTEMS AND METHODS FOR GENERATING AND SELECTING LOCAL CONTENT TO IMPROVE SECURITY AND UTILIZATION OF NETWORK RESOURCES

    公开(公告)号:US20220116410A1

    公开(公告)日:2022-04-14

    申请号:US17278580

    申请日:2020-03-13

    Applicant: GOOGLE LLC

    Abstract: At least one aspect of the present disclosure is directed to systems and methods of generating on-device content items to improve security and network utilization. A client device can access content resources and category information from a data structure in the memory the memory of the client device. The client device can generate on-device content items based on the content resources and the category information. The client device can receive an indication to display a content item in an application executing on the client device. The client device can scan the client device for context information to create a relevant device context. The client device can select an on-device content item based on the relevant device context. The client device can provide the selected on-device item to the application for display, detect an interaction with the displayed content item, and update a content selection model or a content generation model.

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