Cargando…
Health-Aware Food Recommendation Based on Knowledge Graph and Multi-Task Learning
Current food recommender systems tend to prioritize either the user’s dietary preferences or the healthiness of the food, without considering the importance of personalized health requirements. To address this issue, we propose a novel approach to healthy food recommendations that takes into account...
Autores principales: | Chen, Yi, Guo, Yandi, Fan, Qiuxu, Zhang, Qinghui, Dong, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216993/ https://www.ncbi.nlm.nih.gov/pubmed/37238897 http://dx.doi.org/10.3390/foods12102079 |
Ejemplares similares
-
MNI: An enhanced multi-task neighborhood interaction model for recommendation on knowledge graph
por: Ma, Xintao, et al.
Publicado: (2021) -
Multi-Task Learning and Improved TextRank for Knowledge Graph Completion
por: Tian, Hao, et al.
Publicado: (2022) -
Iterative heterogeneous graph learning for knowledge graph-based recommendation
por: Liu, Tieyuan, et al.
Publicado: (2023) -
Profiling temporal learning interests with time-aware transformers and knowledge graph for online course recommendation
por: Zhou, Jilei, et al.
Publicado: (2022) -
Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder
por: Geng, Yishuai, et al.
Publicado: (2022)