Food recommendation
8 papers with code • 1 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Food recommendation
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Oktoberfest Food Dataset
Indian Food Image Dataset
Most implemented papers
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions
Human beings are creatures of habit.
Market2Dish: Health-aware Food Recommendation
With the rising incidence of some diseases, such as obesity and diabetes, a healthy diet is arousing increasing attention.
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
Food recommendation has become an important means to help guide users to adopt healthy dietary habits.
FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network
For that, we propose a novel food logo detection method Multi-scale Feature Decoupling Network (MFDNet), which decouples classification and regression into two branches and focuses on the classification branch to solve the problem of distinguishing multiple food logo categories.
Food Recommendations for Reducing Water Footprint
Therefore, in this work, we present a personalized food recommendation scheme, mapping the ingredients to the most resource-friendly dishes on the planet and in particular, selecting recipes that contain ingredients that consume as little water as possible for their production.
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
revathyramanan/cooking-action-generation
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In this study, we explore the use of generative AI methods to extend current food computation models, primarily involving the analysis of nutrition and ingredients, to also incorporate cooking actions (e. g., add salt, fry the meat, boil the vegetables, etc.).
Explainable Active Learning for Preference Elicitation
We implement the proposed preference elicitation methodology for food recommendation.
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection
lancezpf/seeds
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To tackle this, we propose the Semantic Separable Diffusion Synthesizer (SeeDS) framework for Zero-Shot Food Detection (ZSFD).
