Enhancing a social media post with content that is relevant to the audience of the post

    公开(公告)号:US11683285B2

    公开(公告)日:2023-06-20

    申请号:US17715654

    申请日:2022-04-07

    CPC classification number: H04L51/10 G06F3/0481 H04L51/52 G06Q50/01

    Abstract: Systems and methods are described for enhancing a social media post with a content item. An illustrative method includes receiving a social media post; extracting, from the social media post, a first content item; identifying, in a frame of the first content item, a portion of the frame that is a non-focus portion; identifying a plurality of content items that fit within the non-focus portion; identifying a content preference of an audience of the social media post; determining an estimated length of time that the audience will view the social media post; selecting a second content item, from the plurality of content items, that matches the content preference of the audience and has a duration that does not exceed the estimated length of time; generating an enhanced social media post by overlaying the second content item onto the non-focus portion; and generating for display the enhanced social media post.

    SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATION TO MODIFY DEFICIENT CONTENT ITEM

    公开(公告)号:US20230082818A1

    公开(公告)日:2023-03-16

    申请号:US17859621

    申请日:2022-07-07

    Abstract: Systems and methods are disclosed herein for providing a recommendation to modify deficient a deficient content item. A plurality of content items associated with a topic is retrieved. Each of the content items includes a plurality of portions each associated with a respective sub-topic. A rating for each sub-topic of the content items is calculated, and a minimum viable subset of the sub-topics is identified based on the calculated ratings. A new content item associated with the topic is accessed. A plurality of portions of the new content item is identified and a sub-topic for each identified portion is determined. An omitted sub-topic of the minimum viable subset of the sub-topics that is not included in the sub-topics of the new content item is identified, and the system interrupts upload of the new content and recommends modifying the new content item to include a portion with the omitted sub-topic.

    BIAS QUOTIENT MEASUREMENT AND DEBIASING FOR RECOMMENDATION ENGINES

    公开(公告)号:US20220269688A1

    公开(公告)日:2022-08-25

    申请号:US17694987

    申请日:2022-03-15

    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.

    SYSTEMS AND METHODS FOR GENERATING ADAPTED CONTENT DEPICTIONS

    公开(公告)号:US20220239965A1

    公开(公告)日:2022-07-28

    申请号:US17718022

    申请日:2022-04-11

    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.

    Bias quotient measurement and debiasing for recommendation engines

    公开(公告)号:US11308096B2

    公开(公告)日:2022-04-19

    申请号:US16370181

    申请日:2019-03-29

    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.

    SYSTEMS AND METHODS FOR PROVIDING RECOMMENDATION TO MODIFY DEFICIENT CONTENT ITEM

    公开(公告)号:US20220114162A1

    公开(公告)日:2022-04-14

    申请号:US17065998

    申请日:2020-10-08

    Abstract: Systems and methods are disclosed herein for providing a recommendation to modify deficient a deficient content item. A plurality of content items associated with a topic is retrieved. Each of the content items includes a plurality of portions each associated with a respective sub-topic. A rating for each sub-topic of the content items is calculated, and a minimum viable subset of the sub-topics is identified based on the calculated ratings. A new content item associated with the topic is accessed. A plurality of portions of the new content item is identified and a sub-topic for each identified portion is determined. An omitted sub-topic of the minimum viable subset of the sub-topics that is not included in the sub-topics of the new content item is identified, and the system interrupts upload of the new content and recommends modifying the new content item to include a portion with the omitted sub-topic.

    Systems and methods for automating voice commands

    公开(公告)号:US11232791B2

    公开(公告)日:2022-01-25

    申请号:US16678242

    申请日:2019-11-08

    Abstract: A method of detecting establishment of a voice communication between a first voice communication equipment and a second voice communication equipment and automating requests for content. The method includes analyzing the voice communication to identify a request for content, analyzing the voice communication to identify an affirmative response to the request for content, and correlating the request for content with a first user account and correlating the affirmative response with a second user account. In response to identifying the affirmative response and based upon at least one of the first user account or the second user account, identifying from a data storage, the requested content and causing the transmission of the requested content.

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