Research on Upgrading of Cultural Tourism Management Information System Based on Data Mining Technology
DOI: 10.23977/tmte.2022.050121 | Downloads: 5 | Views: 159
Menghan Hou 1
1 Shandong Women's University, Institute of Tourism, Jinan, Shandong 250399, China
Corresponding AuthorMenghan Hou
On the premise of promoting the development of tourism, this paper discusses the application of big data in tourism management. At present, from the perspective of the development of tourism information management, the level of information management in China's tourism industry is still lagging behind, and the traditional information management methods have been unable to meet the needs of tourism development at this stage. Therefore, it is of great significance for the times for the government to apply big data to tourism management by borrowing computer network technology. At the same time, it is also beneficial to the development of various enterprises related to tourism. Firstly, it introduces the big data of the tourism industry, then analyzes the important role of big data in tourism management, so as to grasp the development trend of the industry in the future, and finally expounds the application of big data from three aspects. The system function module is realized. Through data mining, the analysis of tourism interest and shopping consumption trend of all kinds of tourists is realized, and the research needs to be improved is pointed out. It has important application value in the application of tourism informatization.
KEYWORDSData mining technology, Information system, Upgrade research, Development at present, Analyse
CITE THIS PAPER
Menghan Hou, Research on Upgrading of Cultural Tourism Management Information System Based on Data Mining Technology. Tourism Management and Technology Economy (2022) Vol. 5: 106-110. DOI: http://dx.doi.org/10.23977/tmte.2022.050121.
 Wang Baosong. Discussion on the application of big data mining in smart tourism [J]. Global Market, 2018.
 Dong Shaohua. Exploration of the learning mode of tourism management students under the background of Web data mining [J]. China Extra-Campus Education, 2018(6):2.
 Zhang Weiya, Yan Wei, Tang Shu. Characteristic Analysis of Digital Footprint of Tourist Consumption Behavior Based on Data Mining [J]. Business Economics Research, 2016(18):4.
 Wu Baogang. The application of big data in smart tourism management - a review of “Tourism Management” [J]. Science and Technology Management Research, 2020, 40(6):1.
 Wen Zaibei. Research on the design and development of tourism management platform based on WeChat public account [J]. Information and Computer, 2018(3):2.
 He Fangxing, Guo Long, Fang Ronghao, et al. Guizhou Tourism Data Analysis and Research Based on Big Data [J]. Science and Information Technology, 2020(30):2.
 Mei Mei, Liu Ying, Tang Xiaoli, et al. Sentiment mining method of microblog unstructured data and its application in tourism prediction [J]. Information and Documentation Services, 2019, 40(1):9.
 Liu Zhiyan, Ji Junyu, Shang Bo, et al. Current Situation and Trend of Smart Tourism Development [J]. Enterprise Economics, 2019, 38(10):6.
 Qin Jing, Li Langping, Tang Mingdi, et al. Spatial characteristics of inbound tourism flow in Beijing based on geotagged photos [J]. Acta Geographica Sinica, 2018, 73(8):15.
 Hu Beiming, Zhang Linjing. Construction of a smart tourism system for tourist destinations in the era of self-driving: Research based on content analysis [J]. Journal of Sichuan University of Technology: Social Science Edition, 2016(5):13.