摘要
文章指出,随着Internet的迅速发展、物流配送的方便快捷、网上商品的日益丰富,网上购物呈现迅猛的发展势头。购物网站如何将成千上万的商品介绍给不同需求的用户,用户怎样从众多的商品中快捷地找到自己需要的产品,将Web数据挖掘技术用于个性化网上购物可以较好地解决上述问题。
Shopping online shows a tendency to expand violently with the quick development of Internet, the convenience of dispatching and the increasing abundance of the commercial items online. The solutions to those questions, such as how websites introduce thousands of goods to different network users and how users find what they want from the variety of merchandise, can help save the time spent on shopping and increase in bargains online. It's helpful to deal with the problems mentioned above if we apply the technique of web mining to specific shopping through Internet.
出处
《企业技术开发》
2007年第7期86-88,共3页
Technological Development of Enterprise
关键词
WEB数据挖掘
个性化
相关度
用户
web data mining
individuation
correlation measure
users