• Journal of Korea Multimedia Society
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• v.24 no.8
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• pp.1114-1121
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• 2021

In this paper, we implement a recipe recommendation system using ingredient harmonization analysis based on recipe data. The proposed system receives an image of a food ingredient purchase receipt to recommend ingredients and recipes to the user. Moreover, it performs preprocessing of the receipt images and text extraction using the OCR algorithm. The proposed system can recommend recipes based on the combined data of ingredients. It collects recipe data to calculate the combination for each food ingredient and extracts the food ingredients of the collected recipe as training data. And then, it acquires vector data by learning with a natural language processing algorithm. Moreover, it can recommend recipes based on ingredients with high similarity. Also, the proposed system can recommend recipes using replaceable ingredients to improve the accuracy of the result through preprocessing and postprocessing. For our evaluation, we created a random input dataset to evaluate the proposed recipe recommendation system's performance and calculated the accuracy for each algorithm. As a result of performance evaluation, the accuracy of the Word2Vec algorithm was the highest.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.339-346
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• 2021

In this paper, we implemented an interface that provides a better food ordering mechanism and enables real-time selection of recipe ingredient ratios for customized food orders from global customers. Providing appropriate food to global customers by arranging a selection of menu on the order system screen that shows the basic ratio of each recipe ingredient and provides a customized recipe ingredient composition ratio by configuring a recipe graph without a system for simply selecting and ordering food menus. By enabling interaction, it allows users to provide customized services through the ratio adjustment of various recipe ingredients in the food menu ordering device

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.543-550
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• 2020

Interest in food recipe retrieval systems has been increasing recently. Most computer-based recipe retrieval systems are searched by cooking name or ingredient name. Since each recipe provides information in different weighing units, recalculations to the desired amount are necessary and inconvenient. This paper introduces a computer system that addresses these inconveniences. The system is a chatbot system, based on web-based recipe recommendations, for users familiar with the use of messenger conversation systems. After selecting the most popular recipes by their names, and pre-processing to extract only information required for the recipes, the system recommends recipes based on the 100,000 data. Recipes are then searched by the names of food ingredients (included and excluded). Recalculations are performed based on the number of servings entered by the user. A satisfaction rate for the systems' recommendations was 90.5%.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.477-478
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• 2023

본 논문에서는 스프링 프레임워크를 사용하여 사용자가 보유한 식재료를 기반으로 적합한 레시피를 추천하는 웹 시스템을 설계하고 구현한다. 또한 MVC 패턴을 적용하여 비즈니스 로직과 사용자 인터페이스를 분리하여 개발하였고 MySQL과 Spring Data JPA를 사용하여 로그인 및 회원가입, 레시피와 댓글을 생성, 수정, 삭제할 수 있는 기능을 구현한다.

• Korean journal of food and cookery science
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• v.20 no.2
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• pp.158-163
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• 2004

The purpose of this study was to determine the organoleptic properties of mushroom pickles made at various compounding ratios according to central composite design for optimum organoleptic properties. In this study, various kinds of mushroom pickle were made at different compounding ratios of vinegar, sugar and salt-critical ingredients of the pickle recipe and the products were presented to an expert panel, who graded the subjects in 7 degrees for 5 items: color, flavor, hardness, taste and overall quality. As a result of sensory quality, mushroom pickles with 300g of vinegar, 150g of sugar and 60g of salt achieved the highest grade. Meanwhile, the results of Response Surface Methodology were different from the sensory quality results, showing that the optimum mixing conditions for overall organoleptic properties of mushroom pickle were 279.58g of vinegar, 179.34g of sugar and 59.09g of salt. (Ed- based on this conflict in results, I suggest that you make a final recommendation, of either the first, the second, or perhaps an intermediate, ratio)

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.506-508
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• 2019

1인 가구의 비율은 계속하여 증가하고 있으며 요리정보를 얻기 위한 쿡(Cook)방, 먹방, 요리추천 애플리케이션 등의 인기도 계속되고 있다. 요리에 대한 관심이 높아지면서 1인 가구 또한 요리에 많은 시간을 투자하는 것을 확인할 수 있었다. 한편, 기존 요리추천 애플리케이션에서는 사용자의 기호만 고려하기 때문에 사용자가 가지고 있는 재료를 고려하지 않은 문제가 있다. 본 논문은 이러한 요리정보의 수요를 충족시킴과 동시에 인공지능 이미지 인식 기술을 활용하여 현재 가진 재료로 지금 당장 만들 수 있는 요리와 레시피를 추천하는 서비스를 제공하여 1인 가구에 최적화된 솔루션을 제공한다.