Transforming tourism experience: AI-based smart travel platform

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Tarih

2023

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Yayıncı

Association for Computing Machinery

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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Özet

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.

Açıklama

Smart Travel Digital Ecosystem project was supported by TUBITAK (no: 9220043) and Celtic-NEXT (no: CE-2020-2-3) for the international industrial R&D projects program.

Anahtar Kelimeler

Artificial intelligence, Augmented reality, Identification, Personalization, Recommender systems, Smart travel, Tourism, Learning algorithms, Machine learning, Augmented reality technology, Data-source, Machine learning algorithms, Personality assessments, Personalized tourisms, User activity, User personalities

Kaynak

ACM International Conference Proceeding Series

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Künye

Yöndem, M. T., Özçelik, Ş. T., Caetano, I., Figueiredo, J., Alves, P., Marreiros, G., Bahtiyar, H., Yüksel, E., Perales, F. & Suciu, G. (2023). Transforming tourism experience: AI-based smart travel platform. Paper presented at the ACM International Conference Proceeding Series, 37-45. doi:10.1145/3651640.3651645