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    SYSTEM AND METHOD FOR IMPLICIT ITEM EMBEDDING WITHIN A SIMULATED ELECTRONIC ENVIRONMENT
    1.
    发明公开
    SYSTEM AND METHOD FOR IMPLICIT ITEM EMBEDDING WITHIN A SIMULATED ELECTRONIC ENVIRONMENT 审中-公开

    公开(公告)号：US20240364977A1

    公开(公告)日：2024-10-31

    申请号：US18138919

    申请日：2023-04-25

    申请人： BANK OF AMERICA CORPORATION

    发明人： Maharaj Mukherjee ,  Prashant Thakur ,  George Anthony Albero

    IPC分类号： H04N21/81 ,  H04N21/25 ,  H04N21/258 ,  H04N21/475

    CPC分类号： H04N21/812 ,  H04N21/251 ,  H04N21/25891 ,  H04N21/4756

    摘要： Systems, computer program products, and methods are described herein for implicit item embedding within a simulated electronic environment. In various embodiments, the invention includes utilizing a hybrid recommendation engine, the invention suggests product placements based on user data and preferences of a specific user. During the initial warm-up period, either user-based or product-based collaborative filtering is applied to assign the user to a collaborative user group until more information about the user becomes available. The hybrid recommendation engine is enhanced through a collaborative clustering component, which involves assigning the user to the collaborative user group via user-based collaborative filtering based on their similar user characteristics, product interests, or product preferences. The invention dynamically alters digital content streamed to the user's device. An implicit product placement module integrates recommended products within the entertainment content, providing a seamless and personalized experience for the user.

    Systems and methods for live media content matching
    2.
    发明授权
    Systems and methods for live media content matching 有权

    公开(公告)号：US12132944B2

    公开(公告)日：2024-10-29

    申请号：US18208570

    申请日：2023-06-12

    申请人： Google LLC

    发明人： Matthew Sharifi

    IPC分类号： H04N21/235 ,  H04N21/234 ,  H04N21/25 ,  H04N21/466 ,  H04N21/84

    CPC分类号： H04N21/2353 ,  H04N21/23418 ,  H04N21/251 ,  H04N21/4668 ,  H04N21/84

    摘要： Systems and methods for matching live media content are disclosed. At a server, obtaining first media content from a client device, herein the first media content corresponds to a portion of media content being played on the client device, and the first media content is associated with a predefined expiration time; obtaining second media content from one or more content feeds, wherein the second media content also corresponds to a portion of the media content being played on the client device; in accordance with a determination that the second media content corresponds to a portion of the media content that has been played on the client device: before the predefined expiration time, obtaining third media content corresponding to the media content being played on the client device, from the one or more content feeds; and comparing the first media content with the third media content.

    CUSTOM ZONING FOR ADDRESSABLE TELEVISION ADVERTISEMENTS
    3.
    发明公开
    CUSTOM ZONING FOR ADDRESSABLE TELEVISION ADVERTISEMENTS 审中-公开

    公开(公告)号：US20240357192A1

    公开(公告)日：2024-10-24

    申请号：US18763568

    申请日：2024-07-03

    申请人： GOOGLE LLC

    发明人： Stella Loh ,  Tyrone Nakahara

    IPC分类号： H04N21/262 ,  H04N21/25 ,  H04N21/2668 ,  H04N21/6405 ,  H04N21/81 ,  H04N21/845

    CPC分类号： H04N21/26258 ,  H04N21/252 ,  H04N21/2668 ,  H04N21/6405 ,  H04N21/812 ,  H04N21/8456

    摘要： The present disclosure provides systems and methods for customized programming through “virtual zoning”, not based on network architecture or geographic region, via a modified electronic programming guide (EPG) provided to devices assigned to virtual zones. Broadcasters may thus provide virtual zone-based “localized” programming to devices regardless of location. The virtual zone-based EPG may be functionally identical to conventional EPGs, and thus fully compatible with existing recipient devices, without requiring custom programming or manufacturer resources. Content may be broadcast to virtual zones via multicast IP streams, with primary content provided to a plurality of virtual zones and custom content provided on a stream-by-stream basis. The resulting system is highly scalable, requiring additional resources only based on the number of virtual zones (which may be numbered in the tens or hundreds, in many implementations) rather than the number of recipient devices (which may be numbered in the millions).

    SYSTEMS AND METHODS FOR GENERATING ALTERNATIVE CONTENT RECOMMENDATIONS
    6.
    发明公开
    SYSTEMS AND METHODS FOR GENERATING ALTERNATIVE CONTENT RECOMMENDATIONS 审中-公开

    公开(公告)号：US20240340480A1

    公开(公告)日：2024-10-10

    申请号：US18130893

    申请日：2023-04-04

    申请人： ThinkAnalytics Ltd.

    发明人： Peter Docherty ,  Christopher McGuire ,  Adam Fleming ,  Harrison Ghatoray

    IPC分类号： H04N21/25 ,  H04N21/258

    CPC分类号： H04N21/252 ,  H04N21/25891

    摘要： A computer-implemented method for obtaining one or more recommendation candidates for items of content available via a content distribution system, the method comprising: obtaining user data for a selected user, wherein the user data comprise or represent content metadata associated with user activity; performing a content recommendation process using the user data and content information for the available content to generate one or more initial content recommendation candidates for the user; generating or otherwise obtaining relationship information for the available content items and/or metadata associated with the available content items; generating one or more 10 further content recommendation candidates from the initial content recommendation candidates using the relationship information.

    SYSTEM AND METHODS FOR PERFORMING CONTENT RECOMMENDATION PROCEDURES
    7.
    发明公开
    SYSTEM AND METHODS FOR PERFORMING CONTENT RECOMMENDATION PROCEDURES 审中-公开

    公开(公告)号：US20240340479A1

    公开(公告)日：2024-10-10

    申请号：US18130897

    申请日：2023-04-04

    申请人： ThinkAnalytics Ltd.

    发明人： Peter Docherty ,  Christopher McGuire ,  Alan Ryman ,  Bryan Bossard ,  Asim Ullah ,  Ewen Cattanach

    IPC分类号： H04N21/25 ,  H04N21/231 ,  H04N21/4147 ,  H04N21/466

    CPC分类号： H04N21/251 ,  H04N21/23106 ,  H04N21/4147 ,  H04N21/4668

    摘要： A computer-implemented method for providing content recommendations for a user of a content distribution system, the method comprising: opening a content recommendation session for a selected user, wherein a plurality of data processing procedures, or operations, are available for use during the content recommendation session, the plurality of data processing procedures comprising at least one type of content recommendation procedure for generating one or more content recommendation candidates based on user data and/or content metadata and/or other content information; wherein the method further comprises performing a combining process using one or more of the plurality of procedures to generate one or more content recommendation candidates, wherein the combining process comprises at least: receiving at least one content recommendation request for the selected user; processing said at least one request using at least a first procedure selected from the plurality of procedures to generate at least one or more content recommendation candidates; providing at least some of the one or more content recommendation candidates to at least a second procedure selected from the plurality of procedures to generate at least one or more further content candidates.

    Systems and methods of personifying viewership data
    8.
    发明授权
    Systems and methods of personifying viewership data 有权

    公开(公告)号：US12114029B1

    公开(公告)日：2024-10-08

    申请号：US18196404

    申请日：2023-05-11

    申请人： Comscore, Inc.

    发明人： Michael J. Vinson

    IPC分类号： H04N21/25 ,  G06N3/0895 ,  H04N21/24

    CPC分类号： H04N21/252 ,  G06N3/0895 ,  H04N21/2407

    摘要： A method may include receiving training data including tuning data, household member data, and initial person level distributions. The method may further include aggregating the tuning data from one or more user devices associated with a household to generate an observed household distribution, and calculating, via a prediction model, an implied household viewership distribution based on the person level distribution associated with one or more members of the household. The method may further include comparing the implied household distribution to the observed household distribution of the household, adjusting the prediction model and/or the person level distributions such that the implied household distribution more closely aligns with the observed household distribution, and generating a report with the person level distributions. A system and a non-transitory computer-readable medium may perform the method.

    Systems and methods for generating adapted content depictions
    9.
    发明授权
    Systems and methods for generating adapted content depictions 有权

    公开(公告)号：US12108100B2

    公开(公告)日：2024-10-01

    申请号：US18220459

    申请日：2023-07-11

    申请人： Rovi Guides, Inc.

    发明人： Deviprasad Punja ,  Madhusudhan Srinivasan ,  Alan Waterman

    IPC分类号： H04N21/25 ,  G06N3/044 ,  G06N3/08 ,  H04N21/258

    CPC分类号： H04N21/251 ,  G06N3/044 ,  G06N3/08 ,  H04N21/25883 ,  H04N21/25891

    摘要： 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.