• Title/Summary/Keyword: Attractions

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Automatic Recommendation of Nearby Tourist Attractions related to Events (이벤트와 관련된 주변 관광지 자동 추천 알고리즘 개발)

  • Ahn, Jinhyun;Im, Dong-Hyuk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.3
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    • pp.407-413
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    • 2020
  • Participating in exhibitions is one of the major activities for tourists. When selecting their next travel destination after participating in an event, they use map services and social network services, such as blogs, to obtain information about tourist attractions. The map services are location-based recommendations, because they can easily retrieve information regarding nearby places. Blogs contain informative content about tourist attractions, thereby providing content-based recommendations. However, few services consider both location and content. In location-based recommendations, tourist attractions that are not related to the content of the event attended might be recommended. Content-based recommendation has a disadvantage in that events located at a distance might get recommended. We propose an algorithm that considers both location and content, based on information from the Korea Tourism Organization's Linked Open Data (LOD), Wikipedia, and a Korean dictionary. By extracting nouns from the description of a tourist attraction and then comparing them with nouns about other attractions, a content-based relationship is determined. The distance to the event is calculated based on the latitude and longitude of each tourist attraction. A weight selected by the user is used for linear combination with the content-based relationship to determine the preference order of the recommendations.

Implementation of smart chungbuk tourism based on SNS data analysis (SNS 데이터 분석을 통한 스마트 충북관광 구축)

  • Cho, Wan-Sup;Cho, Ah;Kwon, Kaaen;Yoo, Kwan-Hee
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.2
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    • pp.409-418
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    • 2015
  • With the development of mobile devices and Internet, information exchange has actively been made through SNS and Blogs. Blogs are widely used as a space where people share their experience after their visit to tourist attractions. We propose a method of recommending associated tourist attractions based on tourists' opinions using issue analysis, association analysis, and sentimental analysis for various online reviews including news in order to help to develop tour products and policies. The result shows that north area of Chungbuk province has been selected as issue attractions, and associated attractions/keywards have been identified for given well-known attraction. Positive/negative opinion for review texts has been analyzed and user can grasp the reason for the sentiments. Multidimensional analysis technique has been integrated to derive additional sophisticated insights and various policy proposal for smart tourism.

A Study on the Attractions Evaluative Systems of Gyeongju Historic Heritage Sites (경주역사유적지구의 흡인력 평가지표 선정 연구)

  • Yu, Wen-Dong;Kang, Tai-Ho
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.33 no.3
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    • pp.103-113
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    • 2015
  • This study is an evaluation index development research based on Gyeongju Historic Heritage Sites to identify the attractive Properties of Gyeongju, which decided to competitiveness of the historical city. We got the export Indicator candidate groups by the literature reviews and UNESCO, ICOMOS, and 49 Indicator candidate groups had been selected. In the end, we chose 42 attraction indexes in charm of the cultural heritage side, Cultural heritage tourism resources Side, Restraining force Heritage tourism Side three aspects based on the analysis of Importance(M), Standard deviation(SD), Content Validity Ratio(CVR), Agreement, convergence by using Delphi Technique. We can determine these indicators will be useful basic information, for improving the city's historic attractions. In the future, used these indicators as a basis for Attractions effectiveness evaluation of Gyeongju, Through which the attractions of Gyeongju can be re-recognized.

Typological Approach of the Theme Park-Style Museum to the Application of Attraction Elements - Focused on Specialized Museums Inside and Outside of Korea - (어트랙션의 요소를 적용한 테마파크형 뮤지엄의 유형분석 - 국내.외의 테마박물관을 중심으로 -)

  • Kwon, Soon-Kwan
    • Korean Institute of Interior Design Journal
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    • v.16 no.2 s.61
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    • pp.172-180
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    • 2007
  • Today, games, movies and amusements are the occupation of museums. This study will investigate the current trend of the theme park-style museum, the alternative space of the 21th centuty. Theme parks have moved beyond the concept of park, and they have application in commercial space, medical space, educational space and other areas, even exhibition space in an advanced country. This study researches into the characteristics of the theme park and museum, and how the style of the theme park-style museum is created. Its aim is to analyze the character of theme Park-style museum through case study with a focus on style. The theme park-style museum is an exhibition space with an emphasis on the characteristics of a theme park. The style of a theme park-style museum can be divided into ride-type, food-type, character-type and landscape-type attractions. Attractions are an important element of theme park-style museum. We recognize the new paradigm of museum in the theme park-style museum, but need to propose a method that will apply attraction elements to an exhibition space. The theme park-style museum will continually evolve with new attractions, and it is recommended that museums plan today for these changes.

Socio-Economic Factors and Rural Competitive Advantage: The Moderating Role of Economic Literacy

  • RUSTANTONO, Hendra;SOETJIPTO, Budi Eko;WAHJOEDI, Wahjoedi;SUNARYANTO, Sunaryanto
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.151-159
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    • 2020
  • This study aims to determine the factors influencing the community behavior in improving competitive rural tourism as well as understanding the role of economic literacy in mediating socio-economic indicators and rural competitive advantage. This research followed an explanatory research to examine the relationship between variables including socio-economic variables and rural tourism competitive advantage. The data was gathered by conducting observations and interviews with tourism businesses, stakeholders, and the local village government, and related agencies as respondents. Furthermore, the data were analyzed following inductive and descriptive statistics. The findings indicated that, from all variables used, solely the environmental impact variable did not affect economic literacy and the competitive advantage of rural tourism. The moderating variables showed that the economic literacy mediates the economic impact on rural tourism competitive advantage. In addition, socio-cultural impacts on rural competitive advantage tourism, and the stakeholder involvement affects rural competitive advantage tourism. However, economic literacy failed in mediating between environmental impacts on rural competitive advantage tourism. This is due to the increasing understanding of the economy of the community around the tourist attractions it will increase the business around the tourist attractions that have an impact on environmental damage around the tourist attractions.

Application of Graph Theory for Analyzing the Relational Location Features of Cave as Tourists Attraction(I): focused on the structural analysis of network (동굴관광지의 관계적 입지특성 분석을 위한 그래프이론의 적용(I): 네트워크분석 기법의 적용을 중심으로)

  • Hong, Hyun-Cheol
    • Journal of the Speleological Society of Korea
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    • no.86
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    • pp.8-15
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    • 2008
  • This study is about the efficiency of graph theory that can be applied as the research analysis method in order to identify the relational location features of the caves favored as the ecological tourists attraction. Creating network with traffic nodes and surrounding tourists attractions in a certain space including the caves as the tourists attraction and structural analysis on the overall network using various kinds of index will be very useful method to identify the relational location features and benefits from linking the caves as the tourists attractions. In particular, it can be applied to set the spatial scope in the tourism development plan including the caves as the tourists attractions.

The Strategy for the Traditional Market's Attractions (재래시장 명소화 전략)

  • Lee, Yk-Su;Park, Koo-Won;Park, Jin-Woo
    • The Journal of the Korea Contents Association
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    • v.8 no.2
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    • pp.222-230
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    • 2008
  • Depending on the changing business environment in the traditional markets are experiencing a lot of difficulties. In order to enable traditional markets has been to the brink of a variety of studies in progress. Accordingly, the government has a budget to support the massive effort to modernize its traditional markets. However, traditional market is changing, but the bottom line is the actual appearance of solving performance was still little. Based on these issues, awareness of the current research conducted in this desirable market and the traditional market for the traditional differences in the recognition of the discovery. Recognition of these differences based on the traditional attractions market direction and composition of the present strategy.

[Retracted]Hot Spot Analysis of Tourist Attractions Based on Stay Point Spatial Clustering

  • Liao, Yifan
    • Journal of Information Processing Systems
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    • v.16 no.4
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    • pp.750-759
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    • 2020
  • The wide application of various integrated location-based services (LBS social) and tourism application (app) has generated a large amount of trajectory space data. The trajectory data are used to identify popular tourist attractions with high density of tourists, and they are of great significance to smart service and emergency management of scenic spots. A hot spot analysis method is proposed, based on spatial clustering of trajectory stop points. The DBSCAN algorithm is studied with fast clustering speed, noise processing and clustering of arbitrary shapes in space. The shortage of parameters is manually selected, and an improved method is proposed to adaptively determine parameters based on statistical distribution characteristics of data. DBSCAN clustering analysis and contrast experiments are carried out for three different datasets of artificial synthetic two-dimensional dataset, four-dimensional Iris real dataset and scenic track retention point. The experiment results show that the method can automatically generate reasonable clustering division, and it is superior to traditional algorithms such as DBSCAN and k-means. Finally, based on the spatial clustering results of the trajectory stay points, the Getis-Ord Gi* hotspot analysis and mapping are conducted in ArcGIS software. The hot spots of different tourist attractions are classified according to the analysis results, and the distribution of popular scenic spots is determined with the actual heat of the scenic spots.

Recommendation of tourist attractions based on Preferences using big data

  • KIM HYUN SEOK;Gi-hwan Ryu;kim im yeo-reum
    • International Journal of Advanced Culture Technology
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    • v.11 no.3
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    • pp.327-331
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    • 2023
  • This paper proposes a tourist destination recommendation application that combines a chatbot and a recommendation system. The data to be entered into the chatbot was through big data on social media. Through TEXTOM, a total of 22,701 data were collected over a one-year period from January 2022 to January 2023. Non-terms that interfere with analysis were removed through the data purification process. Using refined data, network visualization and CONCOR analysis were used to identify the information users want to obtain about travel to Jeju Island, and categories for each cluster were organized. The content was intuitively organized so that even those who approached it for the first time could easily use it, reducing the difficulty of operating the application. In this paper, users can select their own preferences and receive information. In addition, a tool called a chatbot allows users to focus more on the process of acquiring information by gaining a sense of reality while operating the application. This suggests an application that can reach the purpose of the curator by affecting the user's desire to visit tourist attractions.

A Study on Landscape Characteristics of Flower-viewing Sites through Historical Literatures in the Late Joseon Dynasty (문헌을 통해 본 조선후기 꽃놀이 명소의 경관 특성)

  • Lee, Jaei;Sung, Jong-Sang
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.34 no.2
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    • pp.35-44
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    • 2016
  • This study targets flower-viewing sites appearing in "Kyungdojapji" and talks about the seasonal customs and tourist attractions of the later Chosun; Pilundae, Bukdun, Outside of Dongdaemun, Cheonyunjeong and near Seodaemun etc. Through related poetry, paintings and maps, it looks into what scenic elements each attraction was made of and how the elements were felt by visitors. It sub-divided and analyzed scenic features into objective objects, subjective emotions and experienced behaviors. As a result, representative objective objects were flowers and there were also scenes where people enjoyed poem-writing meetings along with drinking-related physical elements such as liquor, liquor glasses, liquor bottles etc. Through drawing out scenes, where users gave meaning to objective objects, it tried to interpret what space meant to them, through which the meaning of flower-viewing attractions is first and foremost a space to enjoy artistic taste. Each space is used as the center of cultural creation such as literary people gathering, viewing flowers, drinking and having poetry-writing meetings. Second, as shown in scenes viewers depicted in each space, visitors were confirmed to enjoy scenes through multi-sensory appreciation. By this, flower-viewing attractions were confirmed to be not just flower-viewing but also venues of sensory experience. This study, which drew out the scenic features of traditional flower-viewing attractions, is expected to be basic material in tracing the flower-viewing enjoyed by our ancestors as a pastime and its spatial meaning and in planning Korea-unique flower-viewing attractions.