World Food Atlas Project
원문 초록
A coronavirus pandemic is forcing people to be "at home" all over the world. In a life of hardly ever going out, we would have realized how the food we eat affects our bodies. What can we do to know our food more and control it better? To give us a clue, we are trying to build a World Food Atlas (WFA) that collects all the knowledge about food in the world. In this paper, we present two of our trials. The first is the Food Knowledge Graph (FKG), which is a graphical representation of knowledge about food and ingredient relationships derived from recipes and food nutrition data. The second is the FoodLog Athl and the RecipeLog that are applications for collecting people's detailed records about food habit. We also discuss several problems that we try to solve to build the WFA by integrating these two ideas.
함께 살펴볼 논문
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VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest
DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations
Swine Diet Design using Multi-objective Regionalized Bayesian Optimization
Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval
토론
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