Lancang-Mekong International Vocational Institute, Yunnan Minzu University, Kunming 650000, Yunnan, China.
Business School, Yunnan University of Finance and Economics, Kunming 650221, Yunnan, China.
Comput Intell Neurosci. 2022 Jun 10;2022:5558011. doi: 10.1155/2022/5558011. eCollection 2022.
In the late twentieth century, with the rapid development of the Internet, e-commerce has emerged rapidly, which has changed the way people travel around the world. The greatest advantages of e-commerce are the flow of information and data and the importance of traveling freely to experience the mind and body in different fields. Tourism is an important part of the development of e-commerce, but the development of e-commerce tourism lags behind. To solve the current situation of the backward development of tourism e-commerce, this article studies the construction of a tourism e-commerce platform based on an artificial intelligence algorithm. By introducing modern information technology, based on a cloud computing platform, big data analysis, K-means, and other key technologies, this article solves the current situation of the development of an e-commerce platform. It also analyzes the construction methods of traditional cloud platforms and modern cloud platforms through comparative analysis and solves the construction methods suitable for artificial intelligence tourism. At the same time, combined with the actual situation of tourism, this article selects the appropriate networking method based on the analysis of the advantages and disadvantages of wired and wireless coverage methods and economics to complete the project design. Its purpose is to ensure that the work meets the specific construction needs and build an artificial intelligence-based smart tourism big data analysis model. It promotes the development of tourism e-commerce industry. It saves costs and improves efficiency for travel service providers. Then, according to the actual situation of tourism, it conducts demand analysis from the perspectives of tourists, scenic spots, service providers, tourism administrative agencies, etc. Experiments show that, through the practical application of the artificial intelligence tourism mobile e-commerce platform in this article, it can be seen that the artificial intelligence tourism mobile e-commerce platform designed in this article can meet the needs of customers for shopping-related tourism commodities. Tourists of attractions have increased by 3.54%, and the economy of tourist destinations has increased by 4.2%.
在二十世纪后期，随着互联网的快速发展，电子商务迅速兴起，这改变了人们环游世界的方式。电子商务的最大优势在于信息流和数据流的畅通以及自由旅行以体验不同领域身心的重要性。旅游业是电子商务发展的重要组成部分，但电子商务旅游的发展却相对滞后。为了解决当前电子商务旅游发展落后的现状，本文研究了基于人工智能算法的电子商务平台的构建。通过引入现代信息技术，基于云计算平台、大数据分析、K-均值等关键技术，解决了当前电子商务平台发展的现状。通过对比分析还分析了传统云平台和现代云平台的构建方法，解决了适合人工智能旅游的构建方法。同时，结合旅游业的实际情况，本文通过分析有线和无线覆盖方法以及经济性的优缺点，选择了合适的组网方式，完成了项目设计。其目的是确保工作符合特定的建设需求，并构建基于人工智能的智能旅游大数据分析模型。从而促进旅游电子商务产业的发展。为旅游服务提供商节省成本并提高效率。然后，根据旅游业的实际情况，从游客、景区、服务提供商、旅游管理部门等角度进行需求分析。实验表明，通过本文提出的人工智能旅游移动电子商务平台的实际应用，可以看出，本文设计的人工智能旅游移动电子商务平台能够满足客户对旅游商品购物相关的需求。游客对景点的满意度提高了 3.54%，旅游目的地的经济增长了 4.2%。
