Improving healthy food recommender systems through heterogeneous hypergraph learning

Recommender systems in health-conscious recipe suggestions have evolved rapidly, particularly with the integration of both homogeneous and heterogeneous graphs. However, incorporating IoT devices into healthcare, such as wearable fitness trackers and smart nutrition scales, presents new challenges....

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Jing Wang, Jincheng Zhou, Muammer Aksoy, Nidhi Sharma, Md Arafatur Rahman, Jasni Mohamad Zain, Mohammed J.F. Alenazi, Aliyeh Aminzadeh
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2024-12-01
Schriftenreihe:	Egyptian Informatics Journal
Schlagworte:	Heterogeneous healthy food graph Healthy food recommender systems Hypergraph learning Hypergraph convolution Hypergraph attention
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1110866524001336
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