Demographic predictions for content items

    公开(公告)号:US12155878B2

    公开(公告)日:2024-11-26

    申请号:US18076955

    申请日:2022-12-07

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for demographic predictions for content items. An example embodiment operates by assigning weights representing demographics to a first plurality of nodes of a predictive model and assigning predictive values representing predicted demographics to a second plurality of nodes of the model. Pairwise distances between the predictive values for the nodes of the second plurality of nodes and the weighted values of the first plurality of nodes may be calculated and the shortest calculated pairwise distances may be used to assign demographics for content items corresponding to nodes of the first plurality of nodes to content items corresponding nodes of the second plurality of nodes. When content is requested, a content item for which the same demographic has been assigned may be recommended to the requestor.

    Automated trailer generation
    12.
    发明授权

    公开(公告)号:US12132976B2

    公开(公告)日:2024-10-29

    申请号:US18484041

    申请日:2023-10-10

    Applicant: ROKU, INC.

    CPC classification number: H04N21/8549 G06F16/783

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product aspects, and/or combinations and sub-combinations thereof, for generating trailers (previews) for multimedia content. An example aspect operates by generating an initial set of candidate points to generate a trailer for a media content; determining conversion data for each of the initial set of candidate points; determining an updated set of candidate points based on the conversion data; determining an estimated mean and upper bound for each of the updated set of candidate points; computing a value for each of the updated set of candidate points; generating a ranked list based on the value computed for each of the updated set of candidate points; and repeating the process until an optimal candidate point is converged upon.

    Content acquisition system
    13.
    发明授权

    公开(公告)号:US12126874B2

    公开(公告)日:2024-10-22

    申请号:US18091234

    申请日:2022-12-29

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.

    RENDERING A DYNAMIC ENDEMIC BANNER ON STREAMING PLATFORMS USING CONTENT RECOMMENDATION SYSTEMS AND ADVANCED BANNER PERSONALIZATION

    公开(公告)号:US20240064375A1

    公开(公告)日:2024-02-22

    申请号:US18494814

    申请日:2023-10-26

    Applicant: ROKU, INC.

    CPC classification number: H04N21/4668 H04N21/4316 H04N21/4667

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel, in conjunction with an object recognition model, to enhance dynamic generation of a banner being shown to a user via an awareness or performance campaign. This method allows the platform to present the most relevant ML personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.

    Automated trailer generation
    16.
    发明授权

    公开(公告)号:US11838605B1

    公开(公告)日:2023-12-05

    申请号:US18076476

    申请日:2022-12-07

    Applicant: ROKU, INC.

    CPC classification number: H04N21/8549 G06F16/783

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product aspects, and/or combinations and sub-combinations thereof, for generating trailers (previews) for multimedia content. An example aspect operates by generating an initial set of candidate points to generate a trailer for a media content; determining conversion data for each of the initial set of candidate points; determining an updated set of candidate points based on the conversion data; determining an estimated mean and upper bound for each of the updated set of candidate points; computing a value for each of the updated set of candidate points; generating a ranked list based on the value computed for each of the updated set of candidate points; and repeating the process until an optimal candidate point is converged upon.

    CONTENT ACQUISITION SYSTEM
    18.
    发明申请

    公开(公告)号:US20250016425A1

    公开(公告)日:2025-01-09

    申请号:US18829979

    申请日:2024-09-10

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.

    Rendering a dynamic endemic banner on streaming platforms using content recommendation systems and advanced banner personalization

    公开(公告)号:US12137273B2

    公开(公告)日:2024-11-05

    申请号:US18494814

    申请日:2023-10-26

    Applicant: Roku, Inc.

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content recommendation system powering a streaming media publisher channel, in conjunction with an object recognition model, to enhance dynamic generation of a banner being shown to a user via an awareness or performance campaign. This method allows the platform to present the most relevant ML personalized in-channel content to the publisher platform users in endemic banners that run on the platform which then correspondingly helps drive user reach. An example embodiment operates by implementing personalized content banners that may act as a hook for channel users opening their streaming device, both active and lapsed, to enter back into the channel.

    REINFORCEMENT LEARNING (RL) MODEL FOR OPTIMIZING LONG TERM REVENUE

    公开(公告)号:US20240273575A1

    公开(公告)日:2024-08-15

    申请号:US18108090

    申请日:2023-02-10

    Applicant: ROKU, INC.

    CPC classification number: G06Q30/0269 G06Q30/0261

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for optimizing user experience/engagement and revenue. An example embodiment operates by a computer-implemented method for providing one or more advertisements to a media device. The method includes receiving, by at least one computer processor, a user state associated with a user of the media device, where the user state corresponds to a time step. The method further includes receiving a revenue value associated with the user of the media device, where the revenue value corresponds to the time step. The method also include determining an action associated with the user based on the user state and the revenue value. The action includes one or more parameters associated with the one or more advertisements. The method further includes providing the action to the user.

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