Food recommendation
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Benchmarks
Oktoberfest Food Dataset
Most implemented
KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection
Explainable Active Learning for Preference Elicitation
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
Food Recommendations for Reducing Water Footprint
Papers
MORL-A2C: Multi-Objective Reinforcement Learning Reranker for Optimizing Healthiness in MOPI-HFRS
Unhealthy dietary behavior continues to be a persistent public health issue in the United States, exacerbated by recommendation systems that prioritize user preference without considering nutritional health. The Multi-Ob…
Reinforcement LearningRecommendation SystemsFood recommendationMetaPlate: Counterfactual-Guided RAG-LLM Tool for Personalized Food Recommendation and Hyperglycemia Prevention
Postprandial hyperglycemia is a key risk factor for metabolic disorders; however, existing dietary guidance is often static, impractical, and insufficiently personalized, providing recommendations that are difficult to f…
Recommendation SystemsFood recommendationAn LLM-RAG Approach for Healthy Eating Index-Informed Personalized Food Recommendations
Diet quality is a leading determinant of chronic disease risk. Advances in artificial intelligence (AI) have enabled food recommendation systems to adapt suggestions to user preferences and health goals. However, most cu…
Food recommendationKERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models
Recent advances in large language models (LLMs) and the abundance of food data have resulted in studies to improve food understanding using LLMs. Despite several recommendation systems utilizing LLMs and Knowledge Graphs…
Food recommendationKnowledge GraphsRecipe GenerationRecommendation SystemsAn Integrated Framework for Contextual Personalized LLM-Based Food Recommendation
Personalized food recommendation systems (Food-RecSys) critically underperform due to fragmented component understanding and the failure of conventional machine learning with vast, imbalanced food data. While Large Langu…
Food recommendationRecommendation SystemsFood Recommendation With Balancing Comfort and Curiosity
Food is a key pleasure of traveling, but travelers face a trade-off between exploring curious new local food and choosing comfortable, familiar options. This creates demand for personalized recommendation systems that ba…
Density EstimationFood recommendationRecommendation Systems