Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)

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Research on the design of intelligent tourism auxiliary decision-making service platform based on local tourism big data

Authors
Zehui Wang1, Dianwei Chi2, *
1School of Physics and Electronic Information, Yantai University, Yantai, 264000, China
2Artificial Intelligence Academy, Yantai Institute of Technology, Yantai, 264003, China
*Corresponding author. Email: dianwei.chi@163.com
Corresponding Author
Dianwei Chi
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-490-7_30How to use a DOI?
Keywords
smart tourism; local tourism; big data; assisted decision making; artificial intelligence
Abstract

With the continuous development of local tourism big data and artificial intelligence technology, it provides the necessary conditions for the construction of local intelligent tourism class auxiliary service and decision-making platform. In this paper, data collection and preprocessing of data from local culture and tourism departments and Internet platforms are carried out, and the design of a smart tourism auxiliary decision-making service platform based on local tourism big data is proposed in combination with artificial intelligence technology. On the one hand, it provides intelligent reference for potential tourists’ tourism travel planning and realizes the improvement of personalized services for tourists. On the other hand, it promotes the improvement of the marketing methods of scenic spots, tourist hotels and other business enterprises, and provides auxiliary decision-making support for the tourism management. The design scheme and technical realization scheme of the intelligent tourism decision-making platform formed by this project can be used to guide the construction of the intelligent tourism platform, promote the intelligent transformation and upgrading of local tourism, and promote the high-quality development of local regional tourism.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 August 2024
ISBN
978-94-6463-490-7
ISSN
2589-4919
DOI
10.2991/978-94-6463-490-7_30How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zehui Wang
AU  - Dianwei Chi
PY  - 2024
DA  - 2024/08/31
TI  - Research on the design of intelligent tourism auxiliary decision-making service platform based on local tourism big data
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 283
EP  - 292
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_30
DO  - 10.2991/978-94-6463-490-7_30
ID  - Wang2024
ER  -