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....
| Published in: | EGYPTIAN INFORMATICS JOURNAL |
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| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
CAIRO UNIV, FAC COMPUTERS & INFORMATION
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-recordWOS:001367730700001 |