Enhancing Personalized Performance through a Deep Reinforcement Learning-Based Recommendation System
Author:
Affiliation:
1. Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10424963/10425791/10426207.pdf?arnumber=10426207
Reference23 articles.
1. A Survey on Recommendation System
2. Deep-Reinforcement-Learning-Based User Profile Perturbation for Privacy-Aware Recommendation
3. Scalable Deep Q-Learning for Session-Based Slate Recommendation
4. Target User Specific Q-Learning (TUQL) Personalized Product Recommendation;Karthik;International Journal of Intelligent Systems and Applications in Engineering,2022
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