A hybrid recommendation system with many-objective evolutionary algorithm

•Recommend the more and novel items based on accurate and diverse recommendations.•Mixing multiple recommendation technologies to improve recommendation performance.•The system is based on rating, which makes the recommendation more objective.•Clustering strategies are used to reduce recommended con...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 159; p. 113648
Main Authors:	Cai, Xingjuan, Hu, Zhaoming, Zhao, Peng, Zhang, WenSheng, Chen, Jinjun
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 30.11.2020 Elsevier BV
Subjects:	Collaborative filtering Evolutionary algorithms Genetic algorithms Hybrid recommender algorithm Hybrid systems Many-objective optimization Multiple objective analysis Optimization Recommendation systems Recommender systems User requirements Recommendation systems Hybrid recommender algorithm Many-objective optimization Collaborative filtering
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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