SYSTEMS AND METHODS FOR AUTOMATICALLY IDENTIFYING SPAM IN SOCIAL MEDIA COMMENTS

    公开(公告)号:US20210051123A1

    公开(公告)日:2021-02-18

    申请号:US16541785

    申请日:2019-08-15

    Abstract: Systems and methods are described herein for automatically identifying spam in social media comments based on a comparison of the content of a particular comment on a popular or trending post with content of other comments on the same or other popular or trending posts on the same or other social media platforms. Comments associated with each post are compared to determine whether content of a comment associated with one post is similar to, or matches, content associated with another post of a different trending topic. In response to determining that the content of a comment associated with one post is similar to the content of a comment associated with another post, the two comments are identified as spam, and a notification is generated for display to an administrator of the social media platform identifying the two comments as spam.

    Bias quotient measurement and debiasing for recommendation engines

    公开(公告)号:US11966403B2

    公开(公告)日:2024-04-23

    申请号:US17694987

    申请日:2022-03-15

    CPC classification number: G06F16/24578 G06F16/248 G06F16/9535

    Abstract: Systems and methods for debiasing a recommendation engine are disclosed herein. A search query associated with a user profile is received at a recommendation engine. Control circuitry generates a result set of items of content based on the search query and generates a bias score for a content attribute based on the result set. The control circuitry also generates a time-averaged bias score for the content attribute based on a plurality of search queries associated with the user profile. Based on the bias score and the time-averaged bias score, the control circuitry determines whether a bias is signaled for the content attribute. Finally, the control circuitry outputs, for display via a computing device, the result set or a debiased result set based on a result of the determination of whether the bias is signaled.

    METHODS AND SYSTEMS FOR CACHING CONTENT ITEMS

    公开(公告)号:US20240061776A1

    公开(公告)日:2024-02-22

    申请号:US17889559

    申请日:2022-08-17

    CPC classification number: G06F12/0802 G06F2212/60

    Abstract: Systems and methods are described for caching content items. At least first and second content items are stored in a cache. A determination is made as to whether there is common content between the first content item and the second content item. In response to determining that there is common content between the first content item and the second content item, at least a portion of one of the first content item and the second content item is deleted. A request for the common content is received. In response to receiving the request for the common content, the common content is retrieved from the other of the first content item and the second content item.

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