Diet-Related Health Recommender Systems Show Research Gaps
A scoping review published in J Med Internet Res in 2026 analyzed 15 studies (2010–2024) on diet-related health recommender systems for patients with chronic conditions across nine countries. It found most systems targeted diabetes (9 studies, 60%) or hypertension (6 studies, 40%), commonly used hybrid recommendation techniques, and prioritized accuracy in evaluation. The authors call for user-centered design, standardized metrics, and long-term real-world studies to assess behavioral and clinical impacts.
Scoring Rationale
Comprehensive scoping synthesis across multiple studies, but limited novelty and lack of long-term evaluation reduces practical impact.
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