Prototype of recipe simplification and comment function using GPT-3.5 for inheritance of local food

Abstract

The purpose of this study is to construct Linked Open Data that contributes to the inheritance and understanding of local foods.Local foods contain important information on regional characteristics and culture, but due to changes in modern dietary habits, opportunities to pass on local foods at home are decreasing. Therefore, we conducted a survey on local foods and found that the most common reason for wanting to make local foods was "wanting to pass them on," while the most common reasons for not wanting to make local foods were "time-consuming, troublesome, and labor-intensive" and "it is difficult to prepare the ingredients. Based on these results, we hypothesized that simplifying existing recipes using a large-scale language model and converting them to LOD would contribute to the transmission of Local food, and created a simplification system for Local food recipes.In this study, we attempted to improve the accuracy of the recipes by utilizing human "modification comments" on the generated simplified recipes. We also examined how to effectively utilize these comments.