Deep neural network-based music user preference modeling, accurate recommendation, and IoT-enabled personalization

With the popularity of personalized recommendation systems, how to better satisfy users’ emotional needs has become a key issue in the recommendation field, especially in the Internet of Things environment, where real-time access to users’ emotional data brings new challenges to recommendation syste...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Jing Lin, Siyang Huang, Yujun Zhang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-06-01
Schriftenreihe:	Alexandria Engineering Journal
Schlagworte:	Emotion-driven recommendation Personalized recommendation Hybrid recommendation system Deep neural networks Emotion matching accuracy Music recommendation
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1110016825003655
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