Multi-objective reinforcement learning for recommender systems: a comprehensive survey of methods, challenges, and future directions
Crossref DOI link: https://doi.org/10.1007/s13735-025-00383-7
Published Online: 2025-10-04
Published Print: 2025-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Fatima Ezzahra, Zaizi
Sana, Abakarim
Sara, Qassimi
Said, Rakrak
Text and Data Mining valid from 2025-10-04
Version of Record valid from 2025-10-04
Article History
Received: 24 July 2025
Revised: 15 September 2025
Accepted: 26 September 2025
First Online: 4 October 2025
Declarations
:
: The authors declare no competing interests.