Research on the Application of Artificial Intelligence in Night Tourism
- DOI
- 10.2991/978-94-6463-200-2_57How to use a DOI?
- Keywords
- Artificial Intelligence; Night tourism; Artificial intelligence products
- Abstract
Artificial intelligence has driven innovation in the tourism industry, bringing convenience to tourism enterprises and tourists. Tourism companies have introduced chatbots and applied natural language processing technology to push the best itineraries for tourists based on their characteristics and preferences. Tourism enterprises use artificial intelligence, big data, etc. to analyze the needs of tourists, use deep learning algorithms to segment the market of tourists and achieve precision marketing. Tourists also benefit from artificial intelligence, for example, reducing the waiting time in line, using artificial intelligence assistants to solve problems before, during and after travel, and experiencing the stimulation brought by AR and VR. However, tourists’ perceptions and attitudes towards AI, the use of AI products for night tourism, and preferences vary from each other to the future development of AI. Businesses should improve the application of AI in night tourism according to the needs and suggestions of tourists, and increase publicity.
- Copyright
- © 2023 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
TY - CONF AU - Meng Gao PY - 2023 DA - 2023/07/26 TI - Research on the Application of Artificial Intelligence in Night Tourism BT - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023) PB - Atlantis Press SP - 556 EP - 563 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-200-2_57 DO - 10.2991/978-94-6463-200-2_57 ID - Gao2023 ER -