公开(公告)号：US20250103894A1

公开(公告)日：2025-03-27

申请号：US18423825

申请日：2024-01-26

Applicant: Roku, Inc.

Inventor： Abhishek Majumdar ,  Yuxi Liu ,  Kapil Kumar ,  Nitish Aggarwal ,  Manasi Deshmukh ,  Danish Nasir Shaikh ,  Ravi Tiwari

IPC: G06N3/092 ,  G06F16/2457 ,  G06N3/0455

Abstract: Retrieving content items in response to a query in a way that increases user satisfaction and increases chances of users consuming a retrieved content item is not trivial. One retrieval strategy may include dividing the content items into buckets according to a dimension about the content items and retrieving a top K number of items from different buckets to balance semantic affinity and the dimension. Choosing an optimal K for different buckets for a given query can be a challenge. Reinforcement learning can be used to train and implement an agent model that can choose the optimal K for different buckets.