Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)

Research on Tourism Destination Marketing Strategy Optimization based on Big Data

Authors
Ce Zheng1, *, Mingdi Gao1
1College of Finance and Economics, Qinghai University, Xining, China
*Corresponding author. Email: 3556867627@qq.com
Corresponding Author
Ce Zheng
Available Online 30 December 2024.
DOI
10.2991/978-94-6463-638-3_31How to use a DOI?
Keywords
Personalized tutoring system; Neural network; Optimization method; Learning path
Abstract

The advent of big data technology has introduced a duality of opportunities and challenges to the marketing of tourist destinations. The utilisation of big data enables tourist destinations to differentiate themselves from their competitors and rapidly attain a prominent position in the market, thereby conferring substantial economic and social advantages. This paper mainly uses big data technology to optimize the marketing strategy of tourist destinations. First, data mining technology is used to extract key information such as tourist behavior and preferences from multi-source data such as social media and travel platforms. Secondly, combined with the forecasting model, the dynamic changes of tourism demand are analyzed, the potential tourist groups are accurately predicted, and the factors affecting the attractiveness of the destination are identified. This study also applied machine learning algorithms to optimize precision marketing strategies to improve tourist engagement and promote the promotion effect of tourist destinations. In the experimental analysis part, the effectiveness of the optimization strategy is verified by comparing the actual cases and performance indicators.

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 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
30 December 2024
ISBN
978-94-6463-638-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-638-3_31How 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

TY  - CONF
AU  - Ce Zheng
AU  - Mingdi Gao
PY  - 2024
DA  - 2024/12/30
TI  - Research on Tourism Destination Marketing Strategy Optimization based on Big Data
BT  - Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)
PB  - Atlantis Press
SP  - 307
EP  - 313
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-638-3_31
DO  - 10.2991/978-94-6463-638-3_31
ID  - Zheng2024
ER  -