• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.247-253
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• 2020

It has emerged Food-content among various forms of 1-person media through social media. Food-content influencer also market products through 1-person media, generating revenue through increased views and subscribers of 1-person media. It also sells products through sponsorship. In general, there is a profit structure through 1-person media viewing, but research on how restaurant companies generate profits directly through food-content is insufficient. In addition, research on converting subscribers to consumers through food-contents is minimal. In this paper, we propose an experiential application system based on the behavior of food-content creators. The proposed system collects and categorizes food-content information, and maps between highly related words to organize into keyword categories. The ontology tag-based concept network applied to the proposed system connects representative information by pre-extracting/mapping information related to information requests among a wide range of data. This method maps relevant food-content information to provide the user with data collected/storage in the form of an application. The user uses the application while watching the food eaten by the influencer and creator. And, it is meaningful that the user could be provided is provided with information about the food they want to eat.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.212-219
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• 2020

We conducted this study to identify the accommodation applications users' lifestyle types and the composition factors for consumers' accommodation applications selection attributes and to identify the difference in the selection attributes perception of accommodation applications between groups classified by user's lifestyle types. According to the study, 6 factors were derived as the accommodation applications users' lifestyle types and were named social/leisure-oriented type, fashion-seeking type, culture-seeking type, self-examining type, self-centered type, family-oriented type. Also 6 factors were derived as the accommodation applications selection attributes and were named convenience, interactivity, economic efficiency, transaction reliability, product reliability and informativeness. Valid clusters were divided into four groups and were named culture/tourism group, self-examining group, passive and cautious group and Social and practicality-seeking group. Most of the selection attributes perception of accommodation applications between groups had statistically significant differences(p<.05), except for some items of transaction reliability. Based on the results of this study, we should strive to establish effective marketing strategies that reflect differences in the selection attributes perception of the accommodation application between groups classified by users' lifestyle types.

• 농촌지도와개발
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• 제15권1호
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• pp.145-175
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• 2008

This study has been carried out in order to examine the characteristics and rationales of the rural development policies of the President Roh Moo-Hyun's 'Participatory Government. The study is summarized into two different directions: characterization and rationalization. Characteristics of the government's rural development policies during the President Roh Moo-Hyun's 'Participatory Government (2003-2008) were three folds. First, the government has been more concerned with rural income level problems than those of living-environment standards. Second, the effect of the government's rural development policies has depended heavily upon both 'green tourism' and 'regional renovation'. Third, it has emphasized the applications of bottom-up approach particularly. This study found out a couple of problems about the rationales of the recent rural development policies; First, the developmental potentials and effects of policy measures which designate the rural green tourism, the regional renovation, and the bottom-up approach etc. were all over-estimated. Second, the structure of recent rural development policies was not vivid enough. Policy targets and measures have been proposed very vaguely; therefore, they have caused difficulties in identifying the actual feasibility and appropriateness of the rural development policies.

• 디지털산업정보학회논문지
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• 제10권3호
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• pp.223-235
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• 2014

In this study, it is the study of foreign tourism content information providing utilizing mobile indoor location information services. In particular, we compared the Web App used in Osaka, Japan. Widespread use of smartphones in the world increases, it is changed to free travel of individuals from group travel. Tourists cultural complex shopping mall is able to travel in a room is increasing. By utilizing the services of the guidance location based on the room, it is possible to easily obtain the discount coupon information, tourism content. Also, it is possible to grasp the movement path and disaster relief information. Osaka Japanese tourists increased after the earthquake in Tokyo. So we compare the difference in Osaka web and applications. If improving the indoor location information service method of domestic if it would help foreign tourists attract. In addition, it will give a big impact if there is a fusion of the Internet of things.

• 한국산학기술학회논문지
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• 제15권8호
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• pp.5207-5212
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• 2014

본 연구는 지역축제의 성공적인 운영을 통하여 도시이미지를 개선하고 이를 통해 사회문화적, 경제적 파급효과를 높이기 위한 목적으로 수행되었다. 국내의 많은 지자체에서 운영하고 있는 지역축제의 현실은 경제적 파급효과의 극대화를 도모하는데 포커스가 맞춰져 있다. 그러나, 지역축제는 도시를 중심으로 수행되어야 하며 이렇게 운영될 때 도시가 갖는 이미지가 정립될 수 있고, 장기적으로 다양한 프로그램을 통하여 도시마케팅으로 연계가 가능해진다. 지역으로의 관광객을 흡입하기 위해서 본 연구에서는 지역축제 참가자의 도시이미지 변화에 대한 내용을 중점적으로 다루었으며, 그 개선방안으로서 IT기술을 활용한 모바일 환경조성과 실시간 서비스를 제공함으로써 지역이 갖는 변화와 혁신, 전통과 문화의 조화를 통하여 도시만족도를 제고할 수 있는 대안을 제시하고자 하였다.

• Journal of Smart Tourism
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• 제1권1호
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• pp.53-64
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• 2021

Upselling is often a critical factor in revenue generation for businesses in the tourism and travel industry. Utilizing passenger data from a major international airline company, we develop the PAX (Passenger, Airline, eXternal) model to predict passengers that are most likely to accept an upgrade offer from economy to premium. Formulating the problem as an extremely unbalanced, cost-sensitive, supervised binary classification, we predict if a customer will take an upgrade offer. We use a feature vector created from the historical data of 3 million passenger records from 2017 to 2019, in which passengers received approximately 635,000 upgrade offers worth more than $422,000,000 U.S. dollars. The model has an F1-score of 0.75, outperforming the airline's current rule-based approach. Findings have several practical applications, including identifying promising customers for upselling and minimizing the number of indiscriminate emails sent to customers. Accurately identifying the few customers who will react positively to upgrade offers is of paramount importance given the airline 'industry's razor-thin margins. Research results have significant real-world impacts because there is the potential to improve targeted upselling to customers in the airline and related industries.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.325-333
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• 2020

In the past, eating outside was usually the purpose of eating. However, it has recently expanded into a restaurant culture market. In particular, a dessert culture is being established where people can talk and enjoy. Each consumer has a different tendency to buy chocolate such as health, taste, and atmosphere. Therefore, it is time to recommend chocolate according to consumers' tendency to eat out. In this paper, we propose a chocolate recommendation application based on the tendency to eat out using data on social networks. To collect keyword-based chocolate information, Textom is used as a text mining big data analysis solution.Text mining analysis and related topics are extracted and modeled. Because to shorten the time to recommend chocolate to users. In addition, research on the propensity of eating out is based on prior research. Finally, it implements hybrid app base.

• Journal of Information Processing Systems
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• 제17권1호
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• pp.37-50
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• 2021

Query applications based on nested data, the most commonly used form of data representation on the web, especially precise query, is becoming more extensively used. MapReduce, a distributed architecture with parallel computing power, provides a good solution for big data processing. However, in practical application, query requests are usually concurrent, which causes bottlenecks in server processing. To solve this problem, this paper first combines a column storage structure and an inverted index to build index for nested data on MapReduce. On this basis, this paper puts forward an optimization strategy which combines query execution service tree and frequent sub-query trajectory to reduce the response time of frequent queries and further improve the efficiency of multi-user concurrent queries on large scale nested data. Experiments show that this method greatly improves the efficiency of nested data query.

• Journal of Information Science Theory and Practice
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• 제8권1호
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• pp.56-67
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• 2020

Over the years, cultural mapping methods have been used in several applications and contexts, for diverse cultural assets and to create new conditions for the development of local and regional resources. These methods were inspired by the development of big urban centres and regions, which have been the great engine of cultural mapping growth. The main objectives of the present paper are to provide a literature review on cultural mapping methodologies and to develop exploratory research on crowdsource tools on creative tourism which were applied to one Portuguese municipality in 2017. The research was supported by the implementation and integration of geographic information systems (GIS) and web mapping, which will become part of the solution for the growth of less developed territories and to make more interactive tourist activities. Web mapping's contribution to enhance crowd participation was measured via analysis of 12 digital photos shared through crowdsourcing. The originality of this research lies in the attempt to develop a new model for creative tourism, trying to extend the implementation of Web Mapping crowdsourcing to deprived low density territories. Results show how public participation can be amplified for the tourism market by crowdsourcing tools. These tools look very promising since they can help several members of the public at different ages to contribute to territorial knowledge, engage in activities, and collaborate through digital tools. It is a step to fulfil the lack of studies in this subject and it contributes to the way we think about future studies.

• 스마트미디어저널
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• 제12권8호
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• pp.9-17
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• 2023

정보통신의 발달과 스마트 기기의 발전 및 보급 향상은 관광 형태의 변화를 야기하였고, 이후 스마트 관광이라는 개념이 등장하였다. 이에 스마트 관광 정책 및 설문에 관한 연구가 진행되고 있으나 애플리케이션 리뷰에 관한 연구는 미비한 편이다. 본 연구는 구글 플레이 스토어 내 스마트 관광 분야의 대표적인 애플리케이션인 트립어드바이저 애플리케이션 리뷰 데이터를 수집하여 LDA(Latent Dirichlet Allocation) 토픽 모델링을 통해 사용 용도와 사용자 만족을 파악하고자 한다. 분석 결과 4개의 토픽이 도출되었으며 2개의 토픽에서는 긍정적인 평가를 나머지 2개의 토픽에서는 부정적인 평가를 하고 있었다. 사용자들은 해당 애플리케이션의 숙박 및 관광 명소 추천 시스템에 만족하고 있음을 알 수 있었으며 검색 시 설정한 필터가 적용되지 않거나 업데이트 후 리뷰가 게시되지 않음에 불편을 겪고 있음을 알 수 있었다. 이에 다양한 추천 카테고리를 애플리케이션에 추가하여 사용자에게 다양한 경험을 제공하는 것이 만족도 향상에 도움이 될 것으로 기대된다. 또한 필터 기능을 포함한 애플리케이션 문제를 파악하여 애플리케이션 환경 점검과 해당 기능 오류 개선을 한다면 사용자 만족도를 향상시킬 수 있을 것으로 기대된다.