A survey on reinforcement learning for recommender systems

A survey on reinforcement learning for recommender systems

Recommender systems have been widely applied in different real-life scenarios to help us find useful information. In particular, reinforcement learning (RL)-based recommender systems have become an emerging research topic in recent years, owing to the interactive nature and autonomous learning abili...

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Bibliographic Details
Main Authors: Lin, Yuanguo, Liu, Yong, Lin, Fan, Zou, Lixin, Wu, Pengcheng, Zeng, Wenhua, Chen, Huanhuan, Miao, Chunyan
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Interactive Recommendation
Policy Gradient
Online Access:https://hdl.handle.net/10356/170573

Internet

https://hdl.handle.net/10356/170573

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