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A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions by alexhychen1992 is a document available to read on EtoBox.

What is A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions about?

This survey provides a comprehensive overview of deep reinforcement learning (DRL) in recommender systems, highlighting its advantages over traditional methods in capturing dynamic user preferences. It includes a taxonomy of DRL-based recommender systems, discusses emerging topics and open issues, and suggests future research directions. The document serves as an introductory resource for researchers and practitioners in the field, aiming to foster understanding and advancement in DRL applications for recom

Author

alexhychen1992

Language

EN