• Journal of Korea Society of Industrial Information Systems
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• v.25 no.1
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• pp.31-40
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• 2020

In this study, we developed an algorithm for automatic travel itinerary planning based on expert recommendation. The proposed algorithm generates an itinerary by patterning a number of travel routes based on the automatic itinerary generation method based on the routes recommended by travel experts. To evaluate the proposed algorithm, we generated 30 itinerary for Singapore, Bankok, and Da Nang using both algorithms and analyzed the mean difference of trip distances with t-test and interater reliability of those itineraries. The result shows that the itineraries based on the proposed algorithm is not different from that of VRP(Vehicle routing problem) algorithm and interater reliability is high enough to show that the proposed algorithm is effective enough for real-world usage.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.328-332
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• 2009

From Marketing perspective, WOM(Word-of-Mouse) is the one of the communication methods for customer. That can be an instrument of effect on the tourist decision. Pre-trip tourist will be to do post-trip tourist for tourism information. In order words, they need information for tour. The purpose of this study is useful implications to tourism information-related marketers using UCC tourist information offer an analysis of using UCC tourism information.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.507-517
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• 2018

This study is focused on analyzing the characteristics of repeat foreign tourists to Korea and suggest how to increase the repeat ratio. As the result of analysis, there were significant differences in the variables of sex, age, country in the case of demographic characteristics and in the variables of travel types, the number of company, the purpose of visit, accommodations, major visiting places and visiting areas in the case of travel characteristic. And also there were significant differences in the variables of accommodation fees per person and expenses per person in their own country in the case of travel expenses and in the variables of immigration formalities, public transportations, accommodations, foods, shopping, tourist attractions and security in the case of satisfaction. Lastly there were significant differences in the variables of revisit intention within 3 years, recommendation intention, the image of Korea(before trip) and the image of Korea(after trip) in the case of behavior intention after trip and image evaluation. Therefore it should be considered the characteristics of repeat foreign tourists when we make the tourism products to increase the repeat ratio.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.573-576
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• 2014

In this paper, it provides social network service using context-aware for tourism. For this the service requires Anthropomorphic natural process. The service object need to provide the function analyzing, storing and processing user action. In this paper, it provides an algorithm to analysis with personalized context aware for users. Providing service is an algorithm providing social network, helped by 'Friend recommendation algorithm' which to make relations and 'Attraction recommendation algorithm' which to recommend somewhere significant. Especially when guide is used, server analysis history and location of users to provide optimal travel path, named 'Travel path recommendation algorithm'. Such as this tourism social network technology can provide more user friendly service. This proposed tour guide system is expected to be applied to a wider vary application services.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.115-118
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• 2023

본 논문에서는 지속되던 코로나-19 바이러스로 인한 일상의 제약이 점차 완화되는 추세 속에서 이전에 영위하지 못하던 개개인의 여가생활을 지원하기 위해 개발하였다. 제약이 완화되면서 많은 사람들이 국내 여행의사가 점차 증가된다고 분석된다. 지금 우리의 일상 속에는 인간이 직접 의사결정을 하는 부분들이 많이 줄어들었다. 공공데이터를 이용한 자동화된 경로 추천 시스템을 통해 사용자들은 의사결정의 단계 없이 제공되는 경로를 지도 API를 통해 시각적으로 이용하며 나들이 준비 과정을 간소화 시킬 것으로 예상된다.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.117-128
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• 2017

This study aims to propose measures to consistently induce Chinese tourists who represent the largest percentage of inbound tourism from foreign countries, utilizing raw data of 2015 Korea International Visitor Survey conducted by the Korea Culture & Tourism Institute under the Ministry of Culture, Sports and Tourism. Differences and influence factors for overall satisfaction on travel in Korea, intention to revisit Korea, and intention to recommendation were analyzed by demographic characteristics and tourism characteristics of Chinese consumers. As a result of analysis study, it came out that there are differences between overall satisfaction on travel in Korea and intention to revisit Korea by age and job of demographic characteristics. Among the tourism characteristics, there are differences in intention to revisit Korea depending on purpose of travel, intention to revisit Korea and recommendation according to route of travel information search, and there are differences in all three categories according to type of travel. The most important factor of all three category was identified as 'Food' factor and the second most influential factors were immigration procedures, security, and tourist attractiveness. It is suggested that more active research and improvement efforts are needed in the government, industry, and academia in order to attract Chinese tourists in the future.

• The Journal of the Korean Institute of Forest Recreation
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• v.22 no.4
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• pp.23-33
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• 2018

The purpose of this research is to develop basic materials useful for the visiting management policies' establishment of national parks by analyzing the characteristics of and satisfaction with the visit to Hallyeohaesang National Park according to travel routes. For this, a total of 671 visitors to Hallyeohaesang National Park were recruited and field surveys were conducted three times in spring, summer, and fall from March to November 2017. The Hallyeohaesang national park's visitors were surveyed using a self-administered questionnaire about visitor characteristics (ex: motivation of visiting, travel routes, travel time, and participating activities, etc.) and satisfaction (ex: satisfaction with the visit, intention to revisit, and intention to recommend). SPSS 21.0 program was used for the statistical analysis: frequency analysis and independent-samples t-test analysis. As a result of analysis the motivation of visiting, those who visited only Hallyeohaesang National Park (a single destination) showed a mean value statistically significantly higher level in health improvement and vacation, relaxation, and healing compared to those who had visited or would visit other places along with Hallyeohaesang National Park (multi-destinations). Single destination visitors spent less time traveling from home to national park than multi-destinations visitors. Those who visited only Hallyeohaesang National Park (as a single destination) showed a mean value statistically higher satisfaction and intention to revisit and recommend. The results of this research have significance in providing basic materials to develop efficient park management policies by studying the characteristics of Hallyeohaesang National Park visitors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.663-669
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• 2016

This study explores the effect of tagging in Social Network Services, especially Facebook, which has become popular as a marketing platform. In Facebook, users generally make recommendations using 'Like', 'Share', or 'Tag'. 'Tag' is different from 'Like' or 'Share' in that it can be used to deliver certain messages directly to specific people based on their interests or characteristics. Tagging can be categorized into rewarded tagging and non-rewarded tagging. As a result of our exploratory research, we found that non-rewarded tagging by certain users can indicate that the people, who are tagged, are interested in the contents of the users and share the same interest as them. Also, tagging indicates that these users want to share these services, such as restaurants and tours, with their friends who are tagged in the contents. Therefore, this study sheds light on the importance of the tagging function, as well as 'Like' and 'Share'.

• Information Systems Review
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• v.23 no.3
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• pp.51-75
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• 2021

Global e-commerce websites offer personalized recommendation services to gain sustainable competitiveness. Existing studies have offered personalized recommendation services using quantitative preferences such as ratings. However, offering personalized recommendation services using only quantitative data has raised the problem of decreasing recommendation performance. For example, a user gave a five-star rating but wrote a review that the user was unsatisfied with hotel service and cleanliness. In such cases, has problems where quantitative and qualitative preferences are inconsistent. Recently, a growing number of studies have considered review data simultaneously to improve the limitations of existing personalized recommendation service studies. Therefore, in this study, we identify review and rating mismatches and build a new user profile to offer personalized recommendation services. To this end, we use deep learning algorithms such as CNN, LSTM, CNN + LSTM, which have been widely used in sentiment analysis studies. And extract sentiment features from reviews and compare with quantitative preferences. To evaluate the performance of the proposed methodology in this study, we collect user preference information using real-world hotel data from the world's largest travel platform TripAdvisor. Experiments show that the proposed methodology in this study outperforms the existing other methodologies, using only existing quantitative preferences.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.416-423
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• 2009

From marketing perspectives, WOM(Word-of-Mouth) is one of the communication methods for travelers. It can be an instrument of the effect on tourist decision. The growing predominance of internet use has further highlighted the need for understanding of UCC(User-created contents) tourism information such as travel experience and travel recommendation. This paper was to examine usage patterns of UCC tourism information using experimental design and contents analysis. The result indicated that there were qualities of UCC tourism information. That is useful implication to tourism information-related marketers in destination marketing.