Improving healthy food recommender systems through heterogeneous hypergraph learning

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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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Bibliographic Details
Published in:	Egyptian Informatics Journal
Main Author:	Wang J.; Zhou J.; Aksoy M.; Sharma N.; Rahman M.A.; Zain J.M.; Alenazi M.J.F.; Aminzadeh A.
Format:	Article
Language:	English
Published:	Elsevier B.V. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210135629&doi=10.1016%2fj.eij.2024.100570&partnerID=40&md5=78604ddb42714cc795ff7e6e4f6ec801

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