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.
Key Points
- 1Identify 15 studies (2010–2024) across nine countries focusing on chronic-disease diet HRSs.
- 2Highlight reliance on hybrid recommendation techniques (13 studies, 86.7%), enhancing personalization potential.
- 3Recommend user-centered design, standardized evaluation, and long-term real-world studies to measure behavioral impact.
Scoring Rationale
Comprehensive scoping synthesis across multiple studies, but limited novelty and lack of long-term evaluation reduces practical impact.
Sources
Public references used for this report.
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