-
1.
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.
Inventor: Rohit Mahto , Kelly Lee , Madhulika Taneja , Mehul Sanghavi
IPC: H04N21/81 , H04N21/431 , 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.
-
公开(公告)号:US11948172B2
公开(公告)日:2024-04-02
申请号:US17860686
申请日:2022-07-08
Applicant: Roku, Inc.
Inventor: Mehul Sanghavi , Rohit Mahto , Kelly Lee , Madhulika Taneja
IPC: G06Q30/02 , G06Q30/0251 , H04N21/234 , H04N21/431
CPC classification number: G06Q30/0269 , H04N21/23424 , H04N21/4316
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 hyper-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.
-
3.
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.
Inventor: Rohit Mahto , Kelly Lee , Madhulika Taneja , Mehul Sanghavi
IPC: H04N21/81 , H04N21/458 , H04N21/431
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.
-
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.
Inventor: Atishay Jain , Fei Xiao , Abhishek Bambha , Mehul Agrawal , Rohit Mahto
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.
-
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.
Inventor: Atishay Jain , Fei Xiao , Abhishek Bambha , Mehul Agrawal , Rohit Mahto
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.
-
公开(公告)号:US20240137621A1
公开(公告)日:2024-04-25
申请号:US18536627
申请日:2023-12-12
Applicant: Roku, Inc.
Inventor: Mehul Sanghavi , Rohit Mahto , Kelly Lee , Madhulika Taneja
IPC: H04N21/482 , H04N21/466
CPC classification number: H04N21/4826 , H04N21/4668
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 exploratory 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.
-
公开(公告)号:US12265993B2
公开(公告)日:2025-04-01
申请号:US18588189
申请日:2024-02-27
Applicant: Roku, Inc.
Inventor: Mehul Sanghavi , Rohit Mahto , Kelly Lee , Madhulika Taneja
IPC: G06Q30/02 , G06Q30/0251 , H04N21/234 , H04N21/431
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 hyper-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.
-
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.
-
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.
-
公开(公告)号:US11838592B1
公开(公告)日:2023-12-05
申请号:US17889975
申请日:2022-08-17
Applicant: ROKU, INC.
Inventor: Mehul Sanghavi , Rohit Mahto , Kelly Lee , Madhulika Taneja
IPC: H04N21/466 , H04N21/431
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.
-
-
-
-
-
-
-
-
-