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.

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：US11838605B1

公开(公告)日：2023-12-05

申请号：US18076476

申请日：2022-12-07

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：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.