Construction framework of smart tourism big data mining model driven by blockchain technology
| Autor: | Xiaowen Long, Weiqiang Chen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Heliyon, Vol 10, Iss 14, Pp e34159- (2024) |
| Druh dokumentu: | article |
| ISSN: | 2405-8440 16864611 |
| DOI: | 10.1016/j.heliyon.2024.e34159 |
| Popis: | In the era of sharing economy, the tourism market is increasingly characterized by personalized demand, mobile consumption and product segmentation. This paper aims to apply big data mining technology in the field of smart tourism. Firstly, it focuses on image summary selection and collaborative filtering technology based on big data mining. It then demonstrates the integration of blockchain in smart tourism, emphasizing the use of decentralized structures and smart contracts to achieve data security and transparency, and describes the testing process of smart tourism platforms, including data preparation and platform operational efficiency testing. Finally, the research results of this paper are summarized, and the development potential and practical application value of smart tourism are demonstrated. The results show that in the smart tourism big data mining model, the minimum support for the data set is 10 % and 20 %, respectively. Moreover, with the increase of the number of nodes in the same data set, the running time decreases gradually. It can be seen that smart tourism big data mining has strong scalability. |
| Databáze: | Directory of Open Access Journals |
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