Efficient Tree Policy with Attention-Based State Representation for Interactive Recommendation

Efficient Tree Policy with Attention-Based State Representation for Interactive Recommendation

Nowadays, interactive recommendation systems (IRS) play a significant role in our daily life. Recently, reinforcement learning has shown great potential in solving challenging tasks in IRS, since it can focus on long-term profit and can capture the dynamic preference of users. However, existing RL m...

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Bibliographic Details
Main Authors: Longxiang Shi, Qi Zhang, Shoujin Wang, Zilin Zhang, Binbin Zhou, Minghui Wu, Shijian Li
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
reinforcement learning
deep learning
interactive recommendation system
Online Access:https://www.mdpi.com/2076-3417/13/13/7726

Internet

https://www.mdpi.com/2076-3417/13/13/7726

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