• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.6
• /
• pp.289-294
• /
• 2016

In recent times, as most people develop keen interest in health management, the importance of cultivating dietary habits to prevent various chronic diseases is emphasized. Subsequently, dietary management systems using a variety of mobile and web application interfaces have emerged. However, these systems are difficult to apply in real world and also do not provide personalized information reflective of the user's situation. Hence it is necessary to develop a personalized dietary management and recommendation method that considers user's body state information, food analysis and other essential statistics. In this paper, we analyze nutrition using self-organizing map (SOM) and prepare data about nutrition using clustering. We provide a substitute food recommendation method and also give feedback about the food that user wants to eat based on personalized criteria. The experiment results show that the distance between input food and recommended food of the proposed method is short compared to the recommended food results using general methods and proved that nutritional similar food is recommended.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.138-140
• /
• 2022

시스템은 음식 알레르기가 있는 사용자에게 제공되는 식단을 계획하거나 제공할 때 음식, 식품 또는 레시피에 알레르기 성분이 있는지를 확인하고 표시함으로써 음식 알레르기를 예방할 수 있으며, 더 나아가 음식 알레르기의 대체 식품을 추천하고 선택하는 기능을 제공한다. 또한 음식 영양성분 및 열량을 재산정 함으로써 영양균형을 이룰 수 있는 환경을 제공한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2024.05a
• /
• pp.644-645
• /
• 2024

COVID-19 유행 이후 배달 음식의 수요가 증가했다. 이러한 배달 음식은 재료나 영양성분 파악이 어려운 경우가 많아 원하는 음식 조건이 있거나 영양 균형을 필요로 하는 개인이 곤란을 겪는다는 문제점이 있다. 따라서 맞춤형 음식을 원하는 개인이 손쉽게 요리를 할 수 있는 방안을 마련하고자, 여러 머신러닝 알고리즘을 결합한 하이브리드 모델을 이용한 레시피 추천시스템을 구현했다. 구현 후에는 웹사이트를 제작하여 직접 적용해봄으로써 그 활용성을 확인했다.

• The Journal of the Korea Contents Association
• /
• v.18 no.1
• /
• pp.651-664
• /
• 2018

With the rising popularity of food shows driven by the development of information and communication technologies, food-incorporated broadcasting programs based on various materials are produced in large numbers. This situation has raised a need for each program to examine viewers' preference factors for planning intentions in order to produce competitive programs. This study thus examined viewers' preference factors for food programs and planning intentions and discovered total three factors. The first factor places importance on practicality and entertainment and enjoys food and food programs as a means of resting. The second factor searches for specialized information and focuses on the essential meanings of food and the delivery of the right information. Finally, The third factor gets satisfaction from interactions with food programs and finds joy in storytelling and communication provided by broadcasting programs. These factors have different tendencies from one another, and the present study proposed a concept design for food broadcasting programs based on them.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.10
• /
• pp.1441-1446
• /
• 2022

Modern people can access various information about food recipes very easily on the Internet or social media. As the supply of food recipes increases, it is difficult to find a suitable recipe for each user in the overflowing information. As such, the need to provide information by reflecting users' requirements has increased, and research related to food recipes and cooking recommendations is becoming active. In addition, the Internet, video, and application markets using this are also rapidly activating. In this study, in order to classify recipes from the user's perspective of food recipe users, the user's review data was applied with the k-mean clustering technique, which is unsupervised learning, and a "food recipe classification model" was derived. As a result, it was classified into a total of 25 clusters including information needed by many users, such as specific purposes and cooking stages.

• The Journal of the Korea Contents Association
• /
• v.12 no.2
• /
• pp.453-460
• /
• 2012

Food tourism has grown exponentially every year and food is now considered a vital component of the tourism experience. In recent years, smartphone applications have emerged as a new tool helping travelers create experiences, which allow a number of users to access easily informations about foods while traveling abroad. This study propose a new developing model of food cultural contents for smartphone application for international travelers, 'menu guide for international travelers'. It was created by a group of experts in food culture, who had been lived or are living in 10 different countries, and the collective intelligence enabled to create extensive and reliable food cultural contents. Therefore, it is considered that this developing model of food cultural contents will be a good example for the development of mobile contents for smartphone applications.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.04a
• /
• pp.338-339
• /
• 2010

사용자가 원하는 정보를 자동으로 찾아내어 제공하는 추천시스템은 최근 사용자의 만족도를 높이기 위해 많은 연구들이 진행되고 있다. 본 논문은 사용자의 프로파일, 음식 주문 내용 및 날씨/온도 등 외부요인을 기반으로 의사 결정나무를 이용하여 개인의 선호도를 분석하고 연관규칙을 이용하여 음식의 연관성을 분석한 후 음식을 추천하는 유연성 있는 개인화 추천시스템을 제안하고 구축하였다. 본 시스템은 복수 전략 학습을 이용하여 추천함으로써 단일 학습방법을 사용했을 때보다 만족도가 높아지는 것을 알 수 있었다.

• The Journal of the Korea Contents Association
• /
• v.10 no.8
• /
• pp.417-425
• /
• 2010

This paper is 1) to find out food tourism possibility with representative local food in Dan Yang, 2) to suggest some guidelines to draw food tourists with how activities related with food affect on visit intention. The questionnaires are distributed 250 in Kyoung gi provice including Seoul. then used for data analysis 248. The results are as followed; First, 43.5% of the all respondents means for having food tourism, but 18.5% means no experiences, just having interest in food tourism. The types of food tourism showed simply visiting famous restaurant or participate on food festival. That means high possibility for food tourism. Second, tourists are tend to chose it according to recommend food by local residents, personal own taste, local cuisine & ingredients, visiting for traditional market in community, and participate on food festival in tour destination. Third, respondents are trying to chose local cuisine such as mushroom broth, mackjeok gui(Korean style barbeque), mixed rice with various herb, and rice with garlic & geondrei herb. Fourth, three variables which are food culture oriented, knowledge & information of food, health oriented in food tourism had high significant in visit intention.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.04a
• /
• pp.510-513
• /
• 2010

Color is basically composed of hue, saturation and value. Many objects are made up with color. When people see color, they feel different emotion because of different combination of hue, saturation and value of different colors. Thus, people feel different feeling about the taste of food depending on its color. Thus, by analyzing what color makes people feel tasty about food, we can make food to look more delicious. When people take pictures of food, theyusually do not consider this into account. However if we apply this technology into taking pictures of food, we can make the food look more delicious. This technology can be applied when people want to upload pictures of food in blog, homepage and twitter and so on. In this paper, we analyze the feelings of color of people and then choose the best color combination to present food. After that we change the original image into the new one based on the analysis of color. This way, we can reflect each user's preference.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2018.07a
• /
• pp.482-483
• /
• 2018

스마트폰을 중심으로 한 다양한 형태의 모바일 기기의 등장과 이를 기반으로 하는 사용자 중심의 위치 정보 서비스 기술은 지속적으로 발전하고 있으며, 관련된 모바일 서비스 시장의 규모 또한 매우 큰 폭으로 성장하고 있다. 특히, GPS(Global Positioning System)를 기반으로 하는 음식점 검색과 배달 음식 주문 모바일 어플리케이션은 많은 사용자를 중심으로 보편화되고 있다. 본 논문에서는 이와 같은 음식 주문과 관련하여 BLE(Bluetooth Low Energy Beacon)비콘을 사용한 실내 사용자 위치 정보 기반의 외식 매장용 모바일 서비스를 제안한다.