Food Recommender Systems: Important Contributions, Challenges and Future Research Directions
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Abstract (arXiv)
The recommendation of food items is important for many reasons. Attaining cooking inspiration via digital sources is becoming evermore popular; as are systems, which recommend other types of food, such as meals in restaurants or products in supermarkets. Researchers have been studying these kinds of systems for many years, suggesting not only that can they be a means to help people find food they might want to eat, but also help them nourish themselves more healthily. This paper provides a summary of the state-of-the-art of so-called food recommender systems, highlighting both seminal and most recent approaches to the problem, as well as important specializations, such as food recommendation systems for groups of users or systems which promote healthy eating. We moreover discuss the diverse challenges involved in designing recsys for food, summarise the lessons learned from past research and outline what we believe to be important future directions and open questions for the field. In providing these contributions we hope to provide a useful resource for researchers and practitioners alike.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Nov 2017.
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Citing papers per year: 2021: 3; 2022: 1; 2023: 0; 2024: 2; 2025: 2.
8 papers.
- 2024MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretationcited by 18
- 2021Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graphcited by 17
- 2025Agentic AI Framework for Individuals with Disabilities and Neurodivergence: A Multi-Agent System for Healthy Eating, Daily Routines, and Inclusive Well-Beingcited by 8
- 2021Learning Personal Food Preferences via Food Logs Embeddingcited by 2
- 202250 Ways to Bake a Cookie: Mapping the Landscape of Procedural Textscited by 2
- 2024Enhancing Personalized Recipe Recommendation Through Multi-Class Classificationcited by 1
- 2021Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habitscited by 0
- 2025Building a Macedonian Recipe Dataset: Collection, Parsing, and Comparative Analysiscited by 0
- 2025Agentic AI Framework for Individuals with Disabilities and Neurodivergence: A Multi-Agent System for Healthy Eating, Daily Routines, and Inclusive Well-Being27 Nov 2025
- 2025Building a Macedonian Recipe Dataset: Collection, Parsing, and Comparative Analysis15 Oct 2025
- 2024MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation12 Dec 2024
- 2024Enhancing Personalized Recipe Recommendation Through Multi-Class Classification16 Sep 2024
- 202250 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts31 Oct 2022
- 2021Learning Personal Food Preferences via Food Logs Embedding29 Oct 2021
- 2021Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habits5 Oct 2021
- 2021Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph5 Jan 2021