• World Technopolis Review
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• v.3 no.2
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• pp.97-108
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• 2014

The importance of a science park as an instrument of economic development has been realized by developed economies for past three decades. To comprehend the same, developing economies are also planning and implementing science park ventures. However, in terms of planning, science parks are not objects of global consensus because unlike hotel and restaurant chains, which could be planned with similar standards in different regions or countries, there is no single global standard that can be best-fit for science parks. To meet the need for a better understanding of planning, this research studied science parks in developed and developing economies to identify factors that are globally used in this context. This research also extends our knowledge of best practices for growth, governance and sustainability in science parks, and highlights future trends and external factors that may contribute significantly during planning.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.993-996
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• 2015

인터넷 블로그를 이용한 맛집 마케팅은 외식 산업에서 상당한 영향력을 발휘하고 있다. 사람들은 블로그를 이용해 많은 맛집 리뷰를 작성 및 검색하고 있다. 그런데 사람들이 맛집 리뷰를 검색하면, 검색 엔진에서는 검색어에 대한 정확도 및 시간순으로 검색 결과를 정렬해 주기 때문에 같은 식당에 대한 포스트들이 분산되어 검색된다. 따라서 사람들은 수많은 맛집 리뷰가 섞여있는 검색 결과를 보고 그중 한 식당을 선택하는 것에 어려움을 느낄 수 있다. 이때, 같은 식당에 대한 리뷰를 모아서 보여준다면 어떤 식당에 대한 리뷰가 존재하는지 일목요연하게 볼 수 있으며, 한 식당에 대한 다양한 의견을 참고하여 가고자 하는 식당을 선택하는데 도움이 된다. 따라서 본 논문에서는 블로그의 맛집 포스트를 클러스터링 하는 시스템을 제안하였다. 시스템을 통해 생성된 클러스터의 평가 결과, 정확률, 난수 색인, 순수도는 90% 이상의 높은 값을 보였다.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.185-190
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• 2021

The article provides a literary and analytical review in the following areas of search: problems and prerequisites for changes in the field of education, innovations and innovative models in education, the use of new technologies in teaching. A proposal for a business plan and accompanying documentation for a new methodology based on blockchain technologies were developed, to assess the economic efficiency of the project. The main systems of the new model were modeled on the basis of the proposed methodology, to develop a prototype based on the project documentation.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.735-736
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• 2009

사용자의 참여를 강조하는 Web2.0 시대를 맞이하여 개인의 블로그나 까페에 올라오는 무수히 많은 리뷰들이 실제 소비자의 마음을 움직이는 데에 많은 영향을 미치고 있다. 하지만 많은 리뷰들이 상당히 길게 작성되어 있기 때문에 원하는 정보만을 찾아내는 것은 어려운 일이다. 본 논문에서는 다양한 종류의 리뷰들 중에서도 많은 부분을 차지하고 있는 음식점에 관한 리뷰들을 분석하여 사용자가 원하는 정보를 요약하여 제공하는 방법을 제안한다. 이러한 방법을 통해서 사용자는 객관적인 판단을 내릴 수 있고, 시간적인 측면에서의 효율성을 획득할 수 있을 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.231-232
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• 2021

본 논문에서는 딥러닝 모델 중 Keras 기반 LSTM 모델과 KoGPT-2 모델을 이용하여 학습한 결과를 바탕으로 카테고리 별 키워드 기반의 배달 음식점 리뷰를 생성하는 방법을 제안한다. 데이터는 주로 맛, 양, 배달, 가격으로 구성되어 있으며 이를 카테고리 별로 구분하였다. 또한 새롭게 생성된 텍스트는 의미와 문맥을 판단하여 기존 리뷰 데이터와 비슷하게 구현하였다. 모델마다 성능을 비교하기 위해 정량적, 정성적 평가를 진행하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.407-408
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• 2023

사람들은 각자 원하는 조건에 부합한 식당과 카페를 찾곤 한다. 그러나 개인별로 원하는 조건들이 다양하고 그 조건들이 모두 부합하는 음식점을 찾기에는 적지 않은 시간과 노력이 필요한 일이다. 이 불편함을 해소하고자, 사용자가 원하는 조건을 입력하면 그 조건에 부합하는 몇 개의 음식점들을 추천해 주고, 지도상으로 위치를 표시해 주는 개인 맞춤형 음식점 추천 시스템을 개발하였다. 본 연구에서 제안하는 추천 시스템은 사용자가 입력한 우선순위에 따라 차별화된 음식점 추천을 받을 수 있으므로, 시간과 노력을 투자하지 않고도 자신이 원하는 음식점을 쉽게 찾을 수 있을 것으로 예상된다.

• Journal of the East Asian Society of Dietary Life
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• v.21 no.3
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• pp.438-450
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• 2011

The purpose of this research was to investigate the impact of brand prestige on luxury marketing variables (patrons' perception of well-being, favorable inequity, affective commitment, and dedicational behaviors) in the luxury restaurant industry. Based on a thorough literature review, the clear definitions of each construct were established and theoretical causal relationships between the seven constructs were proposed (brand prestige, perception of well-being, favorable inequity, affective commitment, enhancement, advocacy, and brand consciousness). During this process, the moderating role of brand consciousness was also suggested. Integrating the proposed theoretical hypotheses, a structural model was created. This model was tested using the data collected from 527 luxury restaurant patrons in the United States. Data analysis revealed that brand prestige is a key determinant of favorable inequity and patrons' perception of well-being, thereby inducing two types of dedicational behaviors (enhancement and advocacy). More importantly, during this process, brand consciousness played a moderating role in the relationship between brand prestige and patrons' perception of well-being. Based on the data analysis results, the theoretical/practical implications were discussed.

• International Area Studies Review
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• v.15 no.1
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• pp.241-266
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• 2011

This study examines the determinants of proportion of self-employed and their policy implications focusing hotel/restaurant and wholesale/retail sectors in Korea. In this study, we estimate the optimal size of self-employed in Korea using OECD data. Several hypothesis are tested by use of the regression analysis on the panel data of OECD economies during 2000-2007 period. Using the panel data of per capita GNI, unemployment level, income tax burden, we found that the excess supply level of self-employed was about 8.0%~9.5% overall. We also found that the excess supply level of self-employed was 13.7~14.1% for hotel and restaurant sector, and 10.4~11.1% for wholesale and retail sector. This results imply that strategically coordinated programs for noncompetitive sectors are more effectively implemented. Furthermore, more aggressive entry and exit policies are needed to solve the over-supply problem of self-employed in Korea.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.35-56
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• 2023

With the development of information and communication technology, numerous reviews are continuously posted on websites, which causes information overload problems. Therefore, users face difficulty in exploring reviews for their decision-making. To solve such a problem, many studies on review helpfulness prediction have been actively conducted to provide users with helpful and reliable reviews. Existing studies predict review helpfulness mainly based on the features included in the review. However, such studies disable providing the reason why predicted reviews are helpful. Therefore, this study aims to propose a methodology for applying eXplainable Artificial Intelligence (XAI) techniques in review helpfulness prediction to address such a limitation. This study uses restaurant reviews collected from Yelp.com to compare the prediction performance of six models widely used in previous studies. Next, we propose an explainable review helpfulness prediction model by applying the XAI technique to the model with the best prediction performance. Therefore, the methodology proposed in this study can recommend helpful reviews in the user's purchasing decision-making process and provide the interpretation of why such predicted reviews are helpful.

• 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.