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：US12126874B2

公开(公告)日：2024-10-22

申请号：US18091234

申请日：2022-12-29

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

CPC classification number: H04N21/812 ,  G06Q30/0249 ,  G06Q30/0254 ,  H04N21/251 ,  H04N21/2542

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.

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.