Transforming Tourism Experience: AI-Based Smart Travel Platform

被引：1
作者：
Yondem, Meltem Turhan [1 ]
Ozcelik, Suayb Talha [1 ,3 ]
Caetano, Ines [2 ]
Figueiredo, Jose [2 ]
机构：
[1] SETUR, Istanbul, Turkiye
[2] SISTRADE, Porto, Portugal
[3] Isik Univ, Dept Comp Engn, Istanbul, Turkiye
来源：
PROCEEDINGS OF THE 4TH EUROPEAN SYMPOSIUM ON SOFTWARE ENGINEERING, ESSE 2023 | 2024年
关键词：
Smart travel; Artificial intelligence; Tourism; Identification; Personalization; Recommender systems; Augmented reality;
D O I：
10.1145/3651640.3651645
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this paper, we propose the development of a novel personalized tourism platform incorporating artificial intelligence (AI) and augmented reality (AR) technologies to enhance the smart tourism experience. The platform utilizes various data sources, including travel history, user activity, and personality assessments, combined with machine learning algorithms to generate tailored travel recommendations for individual users. We implemented fundamental requirements for the platform: secure user identification using blockchain technology and provision of personalized services based on user interests and preferences. By addressing these requirements, the platform aims to increase tourist satisfaction and improve the efficiency of the tourism industry. In collaboration with various universities and companies, this multinational project aims to create a versatile platform that can seamlessly integrate new smart tourism units, providing an engaging, educational, and enjoyable experience for users.
引用
收藏
页码：37 / 45
页数：9
相关论文
共 40 条
  • [1] Tourist security, terrorism risk management and tourist safety
    Agarwal, Sheela
    Page, Stephen J.
    Mawby, Rob
    [J]. ANNALS OF TOURISM RESEARCH, 2021, 89
  • [2] Alves Patricia, 2022, Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection: 20th International Conference, PAAMS 2022, Proceedings. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence (13616), P454, DOI 10.1007/978-3-031-18192-4_37
  • [3] Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?
    Alves, Patricia
    Martins, Helena
    Saraiva, Pedro
    Carneiro, Joao
    Novais, Paulo
    Marreiros, Goreti
    [J]. USER MODELING AND USER-ADAPTED INTERACTION, 2023, 33 (05) : 1141 - 1210
  • [4] Modeling Tourists' Personality in Recommender Systems How Does Personality Influence Preferences for Tourist Attractions?
    Alves, Patricia
    Saraiva, Pedro
    Carneiro, Joao
    Campos, Pedro
    Martins, Helena
    Novais, Paulo
    Marreiros, Goreti
    [J]. UMAP'20: PROCEEDINGS OF THE 28TH ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, 2020, : 4 - 13
  • [5] A Smart City Initiative: the Case of Barcelona
    Bakici, Tuba
    Almirall, Esteve
    Wareham, Jonathan
    [J]. JOURNAL OF THE KNOWLEDGE ECONOMY, 2013, 4 (02) : 135 - 148
  • [6] Travel assistance device: utilising global positioning system-enabled mobile phones to aid transit riders with special needs
    Barbeau, S. J.
    Winters, P. L.
    Georggi, N. L.
    Labrador, M. A.
    Perez, R.
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2010, 4 (01) : 12 - 23
  • [7] The Open Kimono: TOWARD A GENERAL FRAMEWORK FOR OPEN DATA INITIATIVES IN CITIES
    Berrone, Pascual
    Ricart, Joan E.
    Carrasco, Carlos
    [J]. CALIFORNIA MANAGEMENT REVIEW, 2016, 59 (01) : 39 - 70
  • [8] Boes K., 2015, Information and communication technologies in tourism, DOI [10.1007/978-3-319-14343-9_29, DOI 10.1007/978-3-319-14343-9_29]
  • [9] Bosnjak Aleksandar, 2017, 7 INT C IN SOC TECHN
  • [10] Buhalis D., 2015, Proceedings of the Information and Communication Technologies in Tourism 2015, P377, DOI DOI 10.1007/978-3-319-14343-9_28
1234