计算机web数据挖掘技术在电子商务中的应用分析

Hu Ju, Hui Wang
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引用次数: 1

摘要

随着互联网的发展,电子商务在人们生活中的比重越来越大。网上购物已经成为一种主要的购物方式,帮助人们提高了生活效率。Web数据挖掘技术是电子商务中非常重要的一项技术。网络可以对电子商务用户的访问方式、兴趣偏好、群体特征等进行深度挖掘和分析。这些信息可以帮助电子商务推送不同的用户群体,大大提高电子商务的整体推广效果和效益。本文从web数据挖掘技术出发,详细阐述了web数据挖掘技术在电子商务中的应用过程,以期为电子商务的发展提供一定的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application analysis of computer web data mining technology in E-commerce
With the development of the Internet, the proportion of e-commerce in people's life is becoming larger and larger. Online shopping has become a major way of shopping and helped people improve their life efficiency. Web data mining technology is a very important technology in e-commerce. The web can deeply mine and analyze the access methods, interest preferences, group characteristics and so on of e-commerce users. These information can help e-commerce push different user groups, and greatly improve the overall promotion effect and benefit of e-commerce. Starting from the web data mining technology, this paper expounds the application process of Web data mining technology used in e-commerce in detail, so as to provide a certain reference for the development of e-commerce.
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