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....

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Xehetasun bibliografikoak

Egile Nagusiak:	Jing Wang, Jincheng Zhou, Muammer Aksoy, Nidhi Sharma, Md Arafatur Rahman, Jasni Mohamad Zain, Mohammed J.F. Alenazi, Aliyeh Aminzadeh
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2024-12-01
Saila:	Egyptian Informatics Journal
Gaiak:	Heterogeneous healthy food graph Healthy food recommender systems Hypergraph learning Hypergraph convolution Hypergraph attention
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S1110866524001336
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