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Tourist Attractions Guide Digital Person Intelligent Recommendation and Customized Itinerary Innovative Exploration of Planning

Ya-Wen Zhang （ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China ）

Mao-Zheng Fu （ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China ）

Yi-Yun Zhang （ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China ）

Rui Dou （ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China ）

Tian-Hui Peng （ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China ）

Si-Si Feng （ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China ）

https://doi.org/10.37155/2972-4813-0202-4

Abstract

With the rapid development of information technology and the promotion of digital transformation, the traditional tourism industry is facing unprecedented changes and challenges. This paper will discuss the innovative practice of intelligent recommendation and customized itinerary planning of tour guides in tourist attractions, and analyze their role and potential in improving the tourism experience and promoting the digital transformation of the tourism industry. By combining artifcial intelligence, big data analysis and virtual tour guide technology, we propose an innovative digital person system for tour guides, which can provide tourists with intelligent scenic spot recommendation and personalized itinerary planning services. This paper will also elaborate on the objectives, plans, features and innovations of the project, and discuss the challenges and prospects in the project implementation process. Through the implementation of the project, we expect to bring a new tour experience to the tourism industry, improve tourist satisfaction, and promote the sustainable development of the tourism industry.

Keywords

tourist attractions; tour guide, digital person; intelligent recommendation; customized itinerary planning; digital transformation

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Copyright © 2024 Ya-Wen Zhang, Mao-Zheng Fu, Yi-Yun Zhang, Rui Dou, Tian-Hui Peng, Si-Si Feng Creative Commons License Publishing time:2024-06-30
This work is licensed under a Creative Commons Attribution 4.0 International License