• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.865-866
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• 2013

다양한 웹 사이트에서 '맛집' 어플의 제공은 다양하게 제공하고 있다. 본 연구도 기존의 제공 서비스와 유사한 기능을 사용하고 있지만, 차이점은 사용자의 의사결정에 효율적으로 도움을 주기 위해 맛집 방문 이력 정보를 이용한 개인 맞춤형 음식점을 추천하는 어플리케이션을 설계한다. 이는 기존의 '맛집' 정보 제공과 방문한 이력에 따른 '맛집' 추천 정보를 제공하는 어플리케이션이다. 사용자는 현재 위치에 따라 과거 방문기록을 등록한 인근 '맛집' 방문 빈도와 방문 순서를 분석하여 현재 위치에서 개인별 맞춤 음식점을 추천받을 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.392-394
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• 2021

This paper is a thesis on an automatic restaurant recommendation application for tourists traveling to travel destinations. when you run the application at any travel destination in KOREA, it is an application that recommends desired services such as Korean, Chinese, Western, etc, regardless of the type of food, so that restaurant rankings are poured out in tourist destinations. not only recommending restaurants, but also collecting related information DB so that you can easily find restaurants in tourist destinations through reviews and stars such as hygiene conditions, prices, and compliance with quarantine regulations due to the recent coronavirus. the application was developed

• Culinary science and hospitality research
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• v.22 no.5
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• pp.64-81
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• 2016

The study, based on existing studies, explored influencing relationship, suggesting app service quality and user reviews as previous elements to affect use satisfaction about users' comments based on big data and reuse intention. The study includes a comparative analysis of existing studies. Based on such analysis results, the authors looked into app service quality elements perceived by gourmet restaurant app users and the role of user reviews, and suggested practical implications that can help the development and operation of gourmet restaurant app contents. The study subjects were male and female consumers who over 20 years old throughout Korea who had not a searched smartphone gourmet restaurant app in the three months preceding the survey. The subjects were selected from consumers who search the restaurantsby using restaurant apps like Mango plate, Dining code, Hot place, and selecting restaurants. Among them, consumers with experience using restaurants were finally selected for the survey. According to the results, reliability, informativity, and system capability, among service quality, had positive influences on app use satisfaction, while design and mobility had no effect. App use satisfaction had positive influences on app reuse intention. User comment informativity played a controlling role. The study explored the importance of app service quality and user review informativity as elements that affect continued use of gourmet restaurant apps by dining-out consumers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.465-466
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• 2023

최근 '블라인드', '에브리타임'등 조직을 기반으로 한 커뮤니티가 활성화되고 있는 추세이다. 커뮤티니 내에서는 다양한 정보들이 공유되고 있고 그중 대표적인 정보가 맛집에 대한 정보이다. 잘 알려지지 않은 숨은 맛집들이나 합리적인 가격에 맛있는 식사를 제공하는 식당이 비용이나 인건비 등 다양한 문제로 작은 골목에 숨어있는 경우가 많은데 커뮤니티 내에서는 지역민이 아니면 알 수 없는 이런 식당들이 공유되곤 한다. 'PickALunch"는 이러한 정보들을 공유하고 알릴 수 있는 앱 어플리케이션이다. 대학생에게 익숙하고 트렌디한 UI와 Algolia, Firebase, KakaoMap 등 다양한 API를 이용하여 누구나 쉽게 식당을 검색하고 찾아갈 수 있도록 개발하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.512-515
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• 2018

웹의 발달로 많은 양의 데이터를 손쉽게 접할 수 있지만, 이러한 데이터들로 얼마나 의미 있는 정보를 잘 끌어내어 공개하고 얼마나 잘 활용시키느냐가 중요한 이슈가 되었다. 본 연구에서는 각각의 자원들이 연결된 데이터 중심의 웹을 구성하기 위해 대구시에서 제공하는 공공데이터를 이용하여 링크드 데이터를 구축한다. 수집한 데이터에서 제공하는 정보를 바탕으로 맛집에 대한 온톨로지를 구축하여 데이터를 발행하고, SPARQL을 활용한 간단한 웹 어플리케이션을 구현한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.528-530
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• 2012

본 논문에서는 개인의 감성정보를 분석하여 음식을 추천해주는 어플리케이션을 설계한다. 제안하는 방법은 현재 위치로부터의 거리나 인터넷 블로그 등에 소개되었던 맛집과 같은 정보를 이용하여 음식을 추천하는 방식과 다르게, 음식 선택에 있어 개인의 기분, 체중, 현재의 날씨와 위치 같은 개인적 정보와 함께 음식에 관한 선호도 조사와 요인분석을 통해 만들어진 감성지도를 바탕으로 여러 상황에 맞는 음식을 추천한다.

• The Journal of Society for e-Business Studies
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• v.22 no.1
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• pp.89-106
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• 2017

In advanced mobile devices environment, the market share of mobile application has been increased. Among various mobile services, Location-based Service (LBS) is an important feature to increase user motivation related to purchase intention on mobile. However, individual privacy has also increased as an important problem for invasion of privacy and information leakage while too many LBS based applications (App) rapidly launched in the App market. In this study, we focused on perceived values of LBS App users who use Apps related to recommending best restaurants in China and South Korea. The purpose of this study is to identify important factors for perceived value when users provide personal information for LBS service provider. The result of this study is follows: perceived value can increase while LBS customers can more control self-information and information useability. Also information ability of users affected perceived values for LBS Apps. Also users' app user ability and perceived value were effects on privacy revenue. In addtion, perceived weakness of users and perceived value increased privacy threat.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.541-543
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• 2021

Recently, the number of cars owned in Jeju Island and the use of tourist rental cars have been increasing rapidly. Therefore, parking problems are getting worse in residential and commercial areas. As a result, a system is required to secure parking spaces and utilize existing parking spaces. Therefore, this paper proposes a system for real-time sharing of free public and paid parking spaces by introducing services that provide information on nearby restaurants, tourist information, and real-time parking status. The system analyzes infrared sensors and CCTV images installed in the actual parking lot and provides convenience for service users by analyzing the space currently in use and the number of unused parking spaces in real time.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.1-8
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• 2019

Recently, consumer distrust has deepened due to blog posts focusing only on public relations due to 'viral marketing'. In addition, marketing projects such as false writing or exaggerated use of the latter phase are one of the most popular programs in 2016 as they are cheaper and more effective than newspaper and TV ads, and the size of advertising costs is set to be a major means of advertising at '3 trillion 394.1 billion won. From this 'viral marketing,' it has become an Internet environment that needs tools to filter information. The fake review filtering application ADDAVICHI presented in this paper extracts, analyzes, and presents blog keywords, total number of searches, reliability and satisfaction when users search for content such as "event" and "taste restaurant." Reliability shows the number of ad posts on a blog, the total number of posts, and satisfaction shows a clean post with confidence divided into positive and negative posts. Finally, the keyword shows a list of the top three words in the review from a positive post. In this way, it helps users interpret information away from advertising.