• Title/Summary/Keyword: 스마트 관광 추천

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Card Transaction Data-based Deep Tourism Recommendation Study (카드 데이터 기반 심층 관광 추천 연구)

  • Hong, Minsung;Kim, Taekyung;Chung, Namho
    • Knowledge Management Research
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    • v.23 no.2
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    • pp.277-299
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    • 2022
  • The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.

Study on Curator of Tourist Attractions using Chatbot (관광지 교육을 위한 교육용 챗봇 큐레이터)

  • Park, Jong-hyun;Kim, Im-yeoreum;Ryu, Gi-Hwan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.303-308
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    • 2022
  • A chatbot is a responsive chatting program that can communicate with people through text or voice. 'Siri' and 'Bixby' installed in smartphones are also representative artificial intelligences that use the chatbot system. With the rapid development of chatbots, users in various fields have also begun to pay attention to the food service industry. As machine learning technology developed, it became possible to use more flexible conversations, and it soon expanded to the realm of education. Userㄴs interact through conversations with chatbots, and active interactions stimulate users' desires and at the same time have a positive effect on learning motivation. Recommendation system programs using chatbots not only recommend products according to users' preferences, but also provide various additional information. This study planned a program that combined the chatbot system and tourism service. The chatbot curator will develop into a form of inducing interest and curiosity to users through learning, and then facilitating the desire for tourism. The purpose of this study is to lay the foundation for a chatbot curator based on previous studies.

Study on Curator of Tourist Attractions using Chatbot (관광지 교육을 위한 교육용 챗봇 큐레이터)

  • Park, Jong-hyun;Kim, Im-yeoreum;Ryu, Gi-Hwan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.843-848
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    • 2022
  • A chatbot is a responsive chatting program that can communicate with people through text or voice. 'Siri' and 'Bixby' installed in smartphones are also representative artificial intelligences that use the chatbot system. With the rapid development of chatbots, users in various fields have also begun to pay attention to the food service industry. As machine learning technology developed, it became possible to use more flexible conversations, and it soon expanded to the realm of education. Userㄴs interact through conversations with chatbots, and active interactions stimulate users' desires and at the same time have a positive effect on learning motivation. Recommendation system programs using chatbots not only recommend products according to users' preferences, but also provide various additional information. This study planned a program that combined the chatbot system and tourism service. The chatbot curator will develop into a form of inducing interest and curiosity to users through learning, and then facilitating the desire for tourism. The purpose of this study is to lay the foundation for a chatbot curator based on previous studies.

Proposal of Personalized Recommendation for Korean Food and Tour Using Beacon System (비콘을 활용한 개인 맞춤형 한식과 관광지 추천 관리 시스템 제안)

  • Sung, Kihyuk;Ryu, Gihwan;Yun, Daiyeol
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.3
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    • pp.267-273
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    • 2020
  • Beacon is a wireless communication device that can automatically recognize the smart device in the short distance and transmit the necessary data, Beacon is a representative Internet of Things (IoT) facility in the era of the 4th Industrial Revolution, which is utilized in various fields such as short-distance information delivery, mobile location service, shopping, and marketing, and is constantly evolving. In this paper, it is based on tourist site-based recommendation information service. A system is proposed that recommends customized information according to the user's interest, preference, etc. by incorporating beacon technology. In other words, it acts as an information agent that informs tourists of desired information. In order to meet the needs of tourists, it is necessary to build an intelligent tourism recommendation system. The personalized Korean food and tourism recommendation management system using the beacon technology proposed in this paper is expected to provide high-quality services not only to foreigners visiting Korea but also to Korean tourists.

Analyzing TripAdvisor application reviews to enable smart tourism : focusing on topic modeling (스마트 관광 활성화를 위한 트립어드바이저 애플리케이션 리뷰 분석 : 토픽 모델링을 중심으로)

  • YuNa Lee;MuMoungCho Han;SeonYeong Yu;MeeQi Siow;Mijin Noh;YangSok Kim
    • Smart Media Journal
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    • v.12 no.8
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    • pp.9-17
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    • 2023
  • The development of information and communication technology and the improvement of the development and dissemination of smart devices have caused changes in the form of tourism, and the concept of smart tourism has since emerged. In this regard, researches related to smart tourism has been conducted in various fields such as policy implementation and surveys, but there is a lack of research on application reviews. This study collects Trip Advisor application review data in the Google Play Store to identify usage of the application and user satisfaction through Latent Dirichlet Allocation (LDA) topic modeling. The analysis results in four topics, two of which are positive and the other two are negative. We found that users were satisfied with the application's recommendation system, but were dissatisfied when the filters they set during search were not applied or that reviews were not published after updates of the application. We suggest more categories can be added to the application to provide users with different experiences. In addition, it is expected that user satisfaction can be improved by identifying problems within the application, including the filter function, and checking the application environment and resolving the error occurring during the application usage.

스마트 요트운용시스템을 위한 추천관광 항로 개발에 관한 연구

  • Gang, Nam-Seon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2013.06a
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    • pp.10-11
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    • 2013
  • 최근 여가 관광의 기능이 활성화되고 해양활동에 대한 관심이 증가하면서 주로 어업의 대상으로 여겨지던 해양공간이 관광자원으로서의 중요성이 부각되고 있으며, 여가활동 및 가족단위 관광활동의 증가로 인하여 해양환광활동에 대한 국민적 관심이 높아지면서 해양레저에 대한 수요가 증가하고 있다. 하지만 우리나라 해양레저활동의 현실은 시설 및 프로그램이 활성화되지 못하고 있으며, 기존의 낚시나 유선사업의 수준을 벗어나지 못하고 있다. 현재 해양레저활동자 조차도 바다에 관한 깊은 이해와 일정수준의 기술 및 노하우를 가지지 못한 상황이며, 레저보트가 접근할 수 있는 지역의 정보 부족으로 근거리의 단순한 경로만을 반복적으로 운항하고 있는 실정이다. 따라서 본 연구에서는 이러한 문제점을 개선하고 요트항해에 필요한 다양한 정보의 제공에 대응하여 해양레저활동을 위한 레저항로를 부산지역을 중심으로 제안하였다.

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The Implementation of the optimal adaptive tour service per the different environment of touring museum Using Thin Client (경량단말을 활용한 이종 박물관 관람 환경별 최적의 적응적 관광 서비스 제공 모듈 구현)

  • Jung, Jong-Jin;Lee, Han-Duk;Kim, Kyung-Won;Lim, Tae-Beom
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.06a
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    • pp.378-380
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    • 2013
  • 본 논문에서 구현한 경량단말을 활용한 이종 박물관 관람 환경별 최적의 적응적 관광 서비스 제공 모듈은 서로 다른 박물관을 관람하는 상황에 맞춰 그 관람객에게 가장 적합한 서비스를 제공을 해주는 모듈이다. 종래의 박물관 관람 형태는 사용자가 박물관에서 나누어준 하드카피 형태의 팜플렛 또는 가이드 안내에만 의존한 관람 형태이고, 주제별 아이템에 관한 상세 정보도 현장에 배치된 안내물을 보던가, 박물관에서 대여형태로 제공하는 오디오 장비만을 활용 하는 수준이며, 특히나 제한된 시간내에 대형 박물관을 관람해야 하는 경우 자신이 관심있는 것만 볼 수 없는 환경이다. 본 논문에서 소개될 이 모듈은 가상화 기술과 경량 단말을 활용하여 대형 박물관 또는 미술관등을 방문한 관람객에게 본인에게 맞는 최적의 관람 서비스를 제공한다. 좀더 자세하게는 대형 박물관에서 이 모듈이 사용되는 경우 넓은 공간에 무수히 많은 작품들이 전시되어 있는 상황에서 가용한 관광시간에 본인이 보고자 하는 것들만 추천받아볼 수 있도록 도와줄 수 있고, 최소한의 원가를 들여서 제작된 경량 스마트 단말을 통하여 해당 작품에 대해 상세한 부가 정보를 제공받아 박물관의 관람효과를 극대화 할 수 있도록 도와준다.

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Tourist Customization Travel Planner (사용자 맞춤 여행 플래너)

  • Heo, Sung-Min;Kim, Jin;Jin, Min Wan;Yoon, Gwanno;Choi, Jongmyung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.513-516
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    • 2015
  • 여행에서 스마트 폰을 활용하는 경우가 일반화되어 있지만, 대부분의 여행 애플리케이션들은 여행을 테마별 혹은 특정 지역 중심으로 여행객들의 관심 여행지를 추천만 해주는 형태가 대부분이다. 그러나 대부분의 여행객들은 여행 일정을 만드는데 많은 시간과 노력을 필요로 한다. 따라서 본 연구는 사용자가 원하는 코스를 계획하여 좋은 관광명소, 숙박시설을 최소 경비와 최소 시간으로 여행을 할 수 있게 서비스를 제공한다.