NSGA-II optimized deep autoencoders for enhanced multi-criteria recommendation system

Recommendation systems are decision-support systems used by e-commerce enterprises to evaluate customers’ preferences and suggest items based on their interests. Moreover, they also tackle the problem of information overload. Multi-criteria recommendation systems differ from standard approaches by u...

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Veröffentlicht in:	Computers & electrical engineering Jg. 123; S. 110159
Hauptverfasser:	Rajput, Ishwari Singh, Tewari, Anand Shanker, Tiwari, Arvind Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2025
Schlagworte:	Autoencoder Collaborative filtering Deep learning Meta-heuristics Multi-criteria NSGA-II Recommendation system Deep learning NSGA-II Collaborative filtering Autoencoder Multi-criteria Recommendation system Meta-heuristics
ISSN:	0045-7906
Online-Zugang:	Volltext
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