公开(公告)号：US20240412271A1

公开(公告)日：2024-12-12

申请号：US18208717

申请日：2023-06-12

Applicant: ROKU, INC.

Inventor： Fei XIAO ,  Lian LIU ,  Jose SANCHEZ ,  Nam VO ,  Atishay JAIN ,  Ronica JETHWA ,  Pulkit AGGARWAL ,  Rohit MAHTO ,  Abhishek BAMBHA ,  Amit VERMA ,  Daniel MEROPOL ,  Rameen MAHDAVI

IPC: G06Q30/0601

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for recommending content to a user. An embodiment identifies a first set of content items based at least on a first set of weights respectively associated with different user interests, causes the first set of content items to be presented to the user, determines a measure of user interaction with the first set of content items, provides the measure of user interaction to one of a multi-arm bandit (MAB), contextual MAB, or reinforcement learning model that selects, based at least on the state information and the measure of user interaction, a second set of weights respectively associated with the different user interests, identifies a second set of content items based at least on the second set of weights, and causes the second set of content items to be presented to the user.