Research Article
Machine Learning Applications in Smart Tourism: Overview, Research Challenges, and the Road Ahead
@ARTICLE{10.4108/eettti.6339, author={Premisha Premananthan and Hang Le and Minh-Hien T. Nguyen and M. Fahim and Trung Q. Duong}, title={Machine Learning Applications in Smart Tourism: Overview, Research Challenges, and the Road Ahead}, journal={EAI Endorsed Transactions on Tourism, Technology and Intelligence}, volume={1}, number={1}, publisher={EAI}, journal_a={TTTI}, year={2024}, month={8}, keywords={Analysis, Artificial Intelligence, Machine learning, Smart tourism, Review}, doi={10.4108/eettti.6339} }- Premisha Premananthan
Hang Le
Minh-Hien T. Nguyen
M. Fahim
Trung Q. Duong
Year: 2024
Machine Learning Applications in Smart Tourism: Overview, Research Challenges, and the Road Ahead
TTTI
EAI
DOI: 10.4108/eettti.6339
Abstract
Tourism plays a vital role in stimulating economic growth, creating employment opportunities and facilitating cultural exchange and mutual understanding between people of different backgrounds. However, as an industry facing increasing competition on a global scale, tourism needs to embrace technologies to adapt quickly to changes. The emergence of smart tourism offers a route to achieve a competitive edge. To this end, machine learning techniques are used to analyze the abundant data available, forecast trends and and provide best solutions. This paper provides an overview, challenges and future directions of research on machine learning techniques applied in smart tourism.
Copyright © 2024 P. Premisha et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
