Deep reinforcement learning approaches for multi-objective problem in Recommender Systems

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Deep reinforcement learning approaches for multi-objective problem in Recommender Systems

Most of the recommender system merely focus on accuracy of rating prediction or recommendation of trendy items. Nonetheless, other non-accuracy metrics such as novelty and diversity should not be neglected to provide quality recommendation. The current major existing multi-objective recommendation a...

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Bibliographic Details
Main Author:	Ee, Yeo Keat
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Reinforcement learning Recommender systems (Information filtering)
Online Access:	http://psasir.upm.edu.my/id/eprint/113135/ http://psasir.upm.edu.my/id/eprint/113135/1/113135.pdf

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