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

    公开(公告)号:US12143688B2

    公开(公告)日:2024-11-12

    申请号:US18353935

    申请日:2023-07-18

    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 to enhance an ad creative being shown to the user via awareness or performance campaigns. This method allows the platform to present the most relevant Machine Language (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.

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

    公开(公告)号:US11750896B1

    公开(公告)日:2023-09-05

    申请号:US17741855

    申请日:2022-05-11

    Applicant: ROKU, INC.

    CPC classification number: H04N21/812 H04N21/4316 H04N21/458

    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 to enhance an ad creative being shown to the user via awareness or performance campaigns. This method allows the platform to present the most relevant Machine Language (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.

    Media device user interface and content personalization using natural language prompts

    公开(公告)号:US12282784B1

    公开(公告)日:2025-04-22

    申请号:US18486515

    申请日:2023-10-13

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for personalizing a user interface (UI) of a media device and/or content presented thereby. An example embodiment operates by obtaining a first natural language user input, providing the first natural language user input to a personalization language model that is configured to interpret different natural language user inputs to respectively determine different update tasks invoked thereby, the different update tasks including a UI update task and a content update task, receiving from the model a first update task determined thereby based at least on the first natural language user input, generating one or more first application programming interface (API) calls based on the first update task, and placing the one or more first API calls to a service that implements the first update task based on the one or more first API calls.

    MEDIA DEVICE USER INTERFACE AND CONTENT PERSONALIZATION USING NATURAL LANGUAGE PROMPTS

    公开(公告)号:US20250123857A1

    公开(公告)日:2025-04-17

    申请号:US18486515

    申请日:2023-10-13

    Applicant: ROKU, INC.

    Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for personalizing a user interface (UI) of a media device and/or content presented thereby. An example embodiment operates by obtaining a first natural language user input, providing the first natural language user input to a personalization language model that is configured to interpret different natural language user inputs to respectively determine different update tasks invoked thereby, the different update tasks including a UI update task and a content update task, receiving from the model a first update task determined thereby based at least on the first natural language user input, generating one or more first application programming interface (API) calls based on the first update task, and placing the one or more first API calls to a service that implements the first update task based on the one or more first API calls.

    Interest-based conversational recommendation system

    公开(公告)号:US12190864B1

    公开(公告)日:2025-01-07

    申请号:US18734961

    申请日:2024-06-05

    Applicant: Roku, Inc.

    Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations thereof, for training a conversational recommendation system. An embodiment generates a probabilistic pseudo-user neural network model based on at least one interest probability distribution corresponding to a pseudo-user profile. The embodiment trains, using the pseudo-user neural network model, the conversational recommendation system to learn a recommendation policy, where the conversational recommendation system includes an interest-exploration engine and a prompt-decision engine. The training includes performing an iterative learning process that includes selecting an interest-exploration strategy based on one or more of the following: an interest-exploration policy, an earlier pseudo-user response generated by the pseudo-user neural network model, content data, and pseudo-user interaction history. The embodiment then generates, using the trained conversational recommendation system, a real-time recommendation having high play probability based on the minimal number of iterations of conversation between a user and the trained conversational recommendation system.

    AUTOMATED TRAILER GENERATION
    9.
    发明公开

    公开(公告)号:US20240196070A1

    公开(公告)日:2024-06-13

    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.

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