Multi-objective deep reinforcement learning for recommendation systems

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Multi-objective deep reinforcement learning for recommendation systems

Most existing recommendation systems (RSs) are primarily concerned about the accuracy of rating prediction and only recommending popular items. However, other non-accuracy metrics such as novelty and diversity should not be overlooked. Existing multi-objective (MO) RSs employed collaborative filteri...

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Bibliographic Details
Main Authors:	Keat, Ee Yeo, Mohd Sharef, Nurfadhlina, Yaakob, Razali, Kasmiran, Khairul Azhar, Marlisah, Erzam, Mustapha, Norwati, Zolkepli, Maslina
Format:	Article
Published:	IEEE Access 2022
Online Access:	http://psasir.upm.edu.my/id/eprint/102257/

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