Research Article
Construction of Tourism E-commerce Marketing System Based on Data Mining
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322636, author={Li Tan}, title={Construction of Tourism E-commerce Marketing System Based on Data Mining}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={data mining; java; e-commerce marketing; tourism; electronic information}, doi={10.4108/eai.17-6-2022.2322636} }- Li Tan
Year: 2022
Construction of Tourism E-commerce Marketing System Based on Data Mining
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322636
Abstract
In order to develop the great potential of tourism e-commerce, increase the market share of tourism e-commerce, thus promoting the development of China's tourism industry and driving the GDP growth of China's tourism industry. By using Java language, J2EE framework and association rule algorithm technology, this paper proposes to mine knowledge from massive tourism information, and extract useful data from it, so as to help China's tourism e-commerce platform analyse marketing strategies, help it better serve the public, meet the current needs of consumers, and provide a basis for enterprises to open up markets and make targeted marketing decisions in the future, thus improving the service quality and enterprise benefits of tourism enterprises.