Advent of Automation in Tourism
EOI: 10.11242/viva-tech.01.07.026
Citation
Anant Chawda, Manjiri Mhatre, Pritesh Dolai, Akshata S. Raut, "Advent of Automation in Tourism", VIVA-IJRI Volume 1, Issue 7, Article COMP_27, pp. 8-14, 2024. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.
Abstract
The integration of automation and artificial intelligence (AI) in the tourism industry is rapidly transforming the way travel experiences are designed, booked, and managed. This paper explores the role of AI technologies, such as machine learning, data analytics, and smart algorithms, in reshaping the tourism landscape. The paper focuses on various applications of AI, including personalized recommendations, dynamic pricing, and intelligent route planning. The authors also discuss the future of AI in tourism and the opportunities and challenges associated with its widespread adoption.
Keywords
Automation, Artificial Intelligence, Smart Tourism, Tourism Industry, Machine Learning, Data Analytics, Personalized Recommendations, Route Planning, Dynamic Pricing.
References
- Elettra D’Amico, Alessandro Destefanis, & Emilio Paolucci (2021) “Artificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups”, International Journal of Contemporary Hospitality Management.
- Tomas Gajdosik and Matus Marcis (2019) “Artificial Intelligence Tools for Smart Tourism Development”, Faculty of Economics, Matej Bel University.
- Maobin Ding (2021) “Research on Tourism Route Planning Based on Artificial Intelligence Technology”, Hindawi Wireless Communications and Mobile Computing Volume 2021.
- Fatemehalsadat Afsahhosseini and Yaseen Al-Mulla (2020) “Machine Learning in Tourism”, The 3rd International Conference on Machine Learning and Machine Intelligence (MLMI ’20), September 18–20, 2020, Hangzhou, China. ACM, New York, NY, USA, 5 pages.
- Ping-Tsan Ho (2022) “Smart Tourism Recommendation Method in Southeast Asia under Big Data and Artificial Intelligence Algorithms”, Hindawi Mobile Information Systems Volume 2022, Article ID 4047501, 11 pages.
- Xiaoyin Yin and Jiangnan He (2022) “Construction of Tourism E-Commerce Platform Based on Artificial Intelligence Algorithm”, Hindawi Computational Intelligence and Neuroscience Volume 2022, Article ID 5558011, 12 pages.
- Wouter Souffriau, Pieter Vangsteenwegen, Joris Vertommen and Greet Vanden Berghe (2008) “A Personalized Tourist Trip Design Algorithm For Mobile Tourist Guides”, Applied Artificial Intelligence: An International Journal, 22:10, 964-985.
- Joan Borras, Antonio Moreno and Aida Valls (2014) “Intelligent tourism recommender systems: a survey”, Expert Systems with Applications.
- Francesca Alessandra Lisi and Floriana Esposito (2015) “An AI Application to Integrated Tourism Planning”, Dipartimento di Informatica, Universit`a degli Studi di Bari “Aldo Moro”, Bari, Italy.
- Lixia Zhang and Zhongli Sun (2019) “The Application of Artificial Intelligence Technology in the Tourism Industry of Jinan”, IOP Conf. Series: Journal of Physics: Conf. Series 1302 (2019) 032005.
- Chao Yu and Mengli Yang (2023) “Co-Existing in Differences: Tailoring Travel Itineraries for Tourists With Similar Interests”, IEEE Access, Volume 11, 2023, 17 pages.
- Kevin Meehan, Tom Lunney, Kevin Curran, Aiden McCaughey (2013) “Context-Aware Intelligent Recommendation System for Tourism”, IEEE.
- Junliang Lu, Gaojian Sun (2012) “Location-based Intelligent Services of Scenic Areas”, IEEE.
- UNWTO (2022, January 1). World Tourism Organization. Accessed: February 4, 2024. [Online]. Available: https://www.unwto.org