Deep Reinforcement Learning-Based Recommendation Method with Positive and Negative Feedback State Representation

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Artificial Intelligence | 更新时间：2024-12-30

- Deep Reinforcement Learning-Based Recommendation Method with Positive and Negative Feedback State Representation
- “In the field of interactive recommendation systems, experts have proposed a recommendation system framework based on contrastive learning and deep reinforcement learning, effectively solving the problem of positive and negative feedback modeling and opening up new directions for recommendation system research.”
- Software Guide Vol. 23, Issue 12, Pages: 27-35(2024)
- 作者机构：
  
  山东建筑大学计算机科学与技术学院，山东济南 250100
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.232308
  CLC： TP18
- Published：16 December 2024，
  
  Received：10 January 2024，
- 稿件说明：
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张涛,张志军,曹家伟等.结合正负反馈状态表示的深度强化学习推荐方法[J].软件导刊,2024,23(12):27-35.

ZHANG Tao,ZHANG Zhijun,CAO Jiawei,et al.Deep Reinforcement Learning-Based Recommendation Method with Positive and Negative Feedback State Representation[J].Software Guide,2024,23(12):27-35.
张涛,张志军,曹家伟等.结合正负反馈状态表示的深度强化学习推荐方法[J].软件导刊,2024,23(12):27-35. DOI： 10.11907/rjdk.232308.

ZHANG Tao,ZHANG Zhijun,CAO Jiawei,et al.Deep Reinforcement Learning-Based Recommendation Method with Positive and Negative Feedback State Representation[J].Software Guide,2024,23(12):27-35. DOI： 10.11907/rjdk.232308.

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