SYNTHETIC USER PROFILES AND MONITORING ONLINE ADVERTISEMENTS

    公开(公告)号:US20210383435A1

    公开(公告)日:2021-12-09

    申请号:US17445809

    申请日:2021-08-24

    Abstract: Disclosed are systems and methods for monitoring and policing online advertisements. Content of a website is evaluated and assigned a score. The content evaluated may be either first-party content or third-party content or both. If the score fails predetermined criteria, a report is generated. Synthetic user profiles can be generated using a browser (or other software) to visit a number of predetermined or pseudo-random sites and accumulate user-specific data as it visits each of the sites. The browser stores off the accumulated user-specific data in conjunction with a synthetic user profile.

    Synthetic user profiles and monitoring online advertisements

    公开(公告)号:US11132717B2

    公开(公告)日:2021-09-28

    申请号:US16402878

    申请日:2019-05-03

    Abstract: Disclosed are systems and methods for monitoring and policing online advertisements. Content of a website is evaluated and assigned a score. The content evaluated may be either first-party content or third-party content or both. If the score fails predetermined criteria, a report is generated. Synthetic user profiles can be generated using a browser (or other software) to visit a number of predetermined or pseudo-random sites and accumulate user-specific data as it visits each of the sites. The browser stores off the accumulated user-specific data in conjunction with a synthetic user profile.

    SYNTHETIC USER PROFILES AND MONITORING ONLINE ADVERTISEMENTS

    公开(公告)号:US20190259069A1

    公开(公告)日:2019-08-22

    申请号:US16402878

    申请日:2019-05-03

    Abstract: Disclosed are systems and methods for monitoring and policing online advertisements. Content of a website is evaluated and assigned a score. The content evaluated may be either first-party content or third-party content or both. If the score fails predetermined criteria, a report is generated. Synthetic user profiles can be generated using a browser (or other software) to visit a number of predetermined or pseudo-random sites and accumulate user-specific data as it visits each of the sites. The browser stores off the accumulated user-specific data in conjunction with a synthetic user profile.

    Synthetic user profiles and monitoring online advertisements

    公开(公告)号:US11568448B2

    公开(公告)日:2023-01-31

    申请号:US17445809

    申请日:2021-08-24

    Abstract: Disclosed are systems and methods for monitoring and policing online advertisements. Content of a website is evaluated and assigned a score. The content evaluated may be either first-party content or third-party content or both. If the score fails predetermined criteria, a report is generated. Synthetic user profiles can be generated using a browser (or other software) to visit a number of predetermined or pseudo-random sites and accumulate user-specific data as it visits each of the sites. The browser stores off the accumulated user-specific data in conjunction with a synthetic user profile.

    SYSTEMS AND METHODS FOR LOGO DETECTION

    公开(公告)号:US20250061689A1

    公开(公告)日:2025-02-20

    申请号:US18450694

    申请日:2023-08-16

    Inventor: Adam J. Robinson

    Abstract: A logo detection system for detecting logos in digital images, such as online advertisements, is disclosed. In response to receiving an image containing a logo, the logo detection system generates synthetic advertisements by randomly transforming and placing the image of the logo into advertisement templates. The logo detection system uses these synthetic advertisements, along with advertisements that do not include the image, to generate a training set by applying an image encoder to the advertisements to extract feature vectors for each advertisement. The logo detection system constructs and trains a number of classification models by randomly assigning values to parameter values for the classification models. Each of these models is trained using the extracted feature vectors and the models are scored to find, from among the trained models, the model with the highest score. This model is retained for purposes of detecting the logo in images, such as online advertisements.

    SYSTEMS AND METHODS FOR DETECTING DATA LEAKAGE OF ONLINE CONTENT

    公开(公告)号:US20230017558A1

    公开(公告)日:2023-01-19

    申请号:US17756113

    申请日:2020-11-20

    Abstract: In some embodiments, a method for monitoring and/or inhibiting data leakage comprises generating a plurality of first and second profiles, and providing the first profiles to a predetermined website, and providing data associated with the exposure of the first profiles to one or more intermediaries. The method further comprises exposing the first and second profiles to third-party web-sites such that the content of the third-party websites is received by the first and second profiles, and retrieving information corresponding to the content received by the first and second profiles via at least one of the one or more intermediaries.

    SYSTEMS AND METHODS FOR EVALUATING CONSENT MANAGEMENT

    公开(公告)号:US20220164459A1

    公开(公告)日:2022-05-26

    申请号:US17455857

    申请日:2021-11-19

    Abstract: In some embodiments, a method for evaluating consent management includes generating a synthetic-user profile including a consent property indicating an opt-out status with respect to tracking user behavior for one or more target websites. The synthetic-user profile is exposed to one or more third-party websites such that dynamic content of the third-party websites is received by the synthetic-user profile. Data is retrieved that corresponds to the dynamic content of the one or more third-party websites. Based on the retrieved data, the consent management with respect to the target website is evaluated.

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