基于数据挖掘模型的智慧旅游电子商务数据挖掘研究

Xiao Wanyi
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引用次数: 0

摘要

互联网时代的到来改变了消费者的消费观念,也对旅游市场经济的发展提出了新的要求。电子商务的出现正好满足了时代的需要。数据挖掘技术作为信息时代的科技产物,可以应用于智慧旅游电子商务的发展,为网站用户提供更有效的资源,不断促进旅游企业的可持续发展。对此,本文简要介绍了智能旅游电子商务数据挖掘的特点及其体系结构,并在此基础上,从用户浏览兴趣的角度构建了智能旅游电子商务数据挖掘模型,旨在提供一些有益的参考,促进智慧旅游电子商务更好的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Data Mining of Smart Tourism E-commerce Based on Data Mining Model
The advent of the Internet era has changed consumers' consumption concepts, and has also put forward new requirements for the development of the tourism market economy. The emergence of e-commerce has just met the needs of the times. As a technological product in the information age, data mining technology can be applied to the development of smart tourism e-commerce, which can provide website users with more effective resources and continuously promote the sustainable development of tourism enterprises. In this regard, this article briefly describes the characteristics of data mining for smart tourism e-commerce and its system structure, and on this basis, builds a smart tourism e-commerce data mining model from the perspective of user browsing interest, aiming to provide some useful references and promote wisdom Better development of tourism e-commerce.
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