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    Emotion evaluation of contents
    2.
    发明授权
    Emotion evaluation of contents 有权

    公开(公告)号：US12301897B2

    公开(公告)日：2025-05-13

    申请号：US18425803

    申请日：2024-01-29

    Applicant: Roku, Inc.

    Inventor： Ronica Jethwa ,  Nam Vo ,  Fei Xiao ,  Abhishek Bambha

    IPC: H04N21/234 ,  G06V20/40 ,  H04N21/25 ,  H04N21/81 ,  H04N21/8549

    Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for generating a scene emotion value for a scene based on a sequence of frame emotion values for a sequence of frames within the scene of a content. The content can include multiple scenes, and a scene can include multiple frames, where a frame emotion value can be generated for each frame. A frame emotion value can be generated based on scene metadata related to the scene, content metadata related to the content, and a frame metadata related to the frame.

    CONTENT ACQUISITION SYSTEM
    3.
    发明申请
    CONTENT ACQUISITION SYSTEM 有权

    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.

    Inventor： Fei XIAO ,  Abhishek Bambha ,  Nam Vo ,  Pulkit Aggarwal ,  Rohit Mahto ,  Andrey Vlasenko ,  Rameen Mahdavi

    IPC: H04N21/81 ,  G06Q30/0241 ,  G06Q30/0251 ,  H04N21/25 ,  H04N21/254

    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.

    CONTENT DISPLAY AND CLUSTERING SYSTEM
    4.
    发明公开
    CONTENT DISPLAY AND CLUSTERING SYSTEM 审中-公开

    公开(公告)号：US20240214630A1

    公开(公告)日：2024-06-27

    申请号：US18435171

    申请日：2024-02-07

    Applicant: Roku, Inc.

    Inventor： Fei Xioa ,  Ronica Jethwa ,  Zidong Wang ,  Jing Lu ,  Jing Ye ,  Nam Vo ,  Jose Sanchez ,  Abhishek Bambha ,  Khaldun Aidarabsah

    IPC: H04N21/433 ,  G06F16/75 ,  H04N21/45

    CPC classification number: H04N21/4332 ,  G06F16/75 ,  H04N21/4532

    Abstract: Disclosed herein are various embodiments, for a content display and clustering system. An example embodiment operates by receiving a request to display the plurality of content items. At each of multiple levels different pairs of content items are identified and a similarity score is computed for each pair. A subset of pairs for which their similarity score exceeds a similarity threshold for the respective level are identified and clustered. This process is repeated for one or more iterations at the same level, and then the process is repeated for each of the multiple levels. A final clustered subset is identified, and output for display, responsive to the request to display the plurality of content items.

    Content display and clustering system
    6.
    发明授权
    Content display and clustering system 有权

    公开(公告)号：US11941067B1

    公开(公告)日：2024-03-26

    申请号：US17943526

    申请日：2022-09-13

    Applicant: ROKU, INC.

    Inventor： Fei Xiao ,  Ronica Jethwa ,  Zidong Wang ,  Jing Lu ,  Jing Ye ,  Nam Vo ,  Jose Sanchez ,  Abhishek Bambha ,  Khaldun Aidarabsah

    IPC: G06F16/906

    CPC classification number: G06F16/906

    Abstract: Disclosed herein are various embodiments, for a content display and clustering system. An example embodiment operates by receiving a request to display the plurality of content items. At each of multiple levels different pairs of content items are identified and a similarity score is computed for each pair. A subset of pairs for which their similarity score exceeds a similarity threshold for the respective level are identified and clustered. This process is repeated for one or more iterations at the same level, and then the process is repeated for each of the multiple levels. A final clustered subset is identified, and output for display, responsive to the request to display the plurality of content items.

    Dynamic Triggering and Processing of a Purchase Based on Computer Detection of Media Object
    7.
    发明申请
    Dynamic Triggering and Processing of a Purchase Based on Computer Detection of Media Object 有权

    公开(公告)号：US20250086687A1

    公开(公告)日：2025-03-13

    申请号：US18464617

    申请日：2023-09-11

    Applicant: Roku, Inc.

    Inventor： Jin Bao ,  Pulkit Aggarwal ,  Nam Vo ,  Zhiwei Chen ,  Shashank C. Merchant

    IPC: G06Q30/0601 ,  G06F40/40 ,  G06Q30/0251 ,  G06V10/764

    Abstract: A method and system for processing a purchase based on image recognition in a video stream being presented by a computing system. A method includes receiving a first user-input defining a first user-request to pause presentation of the video stream, and, responsive to the first user-input, pausing by the computing system the presentation of the video stream at a video frame. Further, the method includes detecting based on computer-vision analysis of the video frame, at least one object depicted by the video frame. Additionally, the method includes correlating the detected object with at least one purchasable item and presenting a prompt for purchase of the at least one purchasable item. Also, the method includes receiving a second user-input requesting to purchase a given one of the at least one purchasable item and processing, responsive to receiving the second user-input, a purchase of the given purchasable item for the user.

    Interest-based conversational recommendation system
    8.
    发明授权
    Interest-based conversational recommendation system 有权

    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.

    Inventor： Fei Xiao ,  Amit Verma ,  Rohit Mahto ,  Rameen Mahdavi ,  Nam Vo ,  Zidong Wang ,  Lian Liu ,  Jose Sanchez ,  Pulkit Aggarwal ,  Atishay Jain ,  Abhishek Bambha ,  Ronica Jethwa

    IPC: G10L15/06

    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
    AUTOMATED TRAILER GENERATION 审中-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.

    Inventor： ABHISHEK BAMBHA ,  Ronica Jethwa ,  Rohit Mahto ,  Nam Vo ,  Fei Xiao ,  Lian Liu

    IPC: H04N21/8549 ,  G06F16/783

    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 display and clustering system
    10.
    发明授权
    Content display and clustering system 有权

    公开(公告)号：US12235905B2

    公开(公告)日：2025-02-25

    申请号：US18435171

    申请日：2024-02-07

    Applicant: Roku, Inc.

    Inventor： Fei Xiao ,  Ronica Jethwa ,  Zidong Wang ,  Jing Lu ,  Jing Ye ,  Nam Vo ,  Jose Sanchez ,  Abhishek Bambha ,  Khaldun Aidarabsah

    IPC: G06F16/906 ,  G06F16/75 ,  H04N21/433 ,  H04N21/45

    Abstract: Disclosed herein are various embodiments, for a content display and clustering system. An example embodiment operates by receiving a request to display the plurality of content items. At each of multiple levels different pairs of content items are identified and a similarity score is computed for each pair. A subset of pairs for which their similarity score exceeds a similarity threshold for the respective level are identified and clustered. This process is repeated for one or more iterations at the same level, and then the process is repeated for each of the multiple levels. A final clustered subset is identified, and output for display, responsive to the request to display the plurality of content items.

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