SOURCE-LINKED INTELLIGENCE
Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
A sustainable diet represents a multi-dimensional synergy among four essential pillars: nutrition adequacy, economic affordability, cultural acceptability, and environmental respect. Despite the prevalence of population-level sustainability modeling, practical implementation relies on effective individual-level adoption. This transition is often hindered by inter-individual heterogeneity, posing a formidable challenge in aligning sustainable diet requirements with individual preferences. To address this issue, we propose a personalized sustainable diet recommendation model based on a constrain
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T09:01:19.000Z
First collected: 2026-09-21T10:02:02.728Z. This is not the publication date.