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动态采集与关联规则在个性化推荐中的应用

Dyanamic Data Collection and Association Rules Used in Personal Recommendation
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摘要 一个网站有多个网页组成,网站上的信息分布在这些网页上,不同的用户对不同的网页上的信息感兴趣,如何满足用户对敏感网页的高效访问,我们提出一个基于使用挖掘的Web站点个性化信息服务系统来解决问题。利用Web使用挖掘技术来分析用户的浏览模式,根据用户的当前访问需要,自动实时地为用户提供推荐页面,实现个性化服务。 A website has several web pages. The different customer is interested in different web page. How to meet the needs of users efficient access to sensitive webpage. We present a based on the use of mining Web website personalized information service system .Using Web usage mining technology to analyze the users' browsing mode, According to the user's current visit, automatic real time for users to provide recommend page, to realize the personalized service.
作者 国伟
出处 《信息技术与信息化》 2012年第6期42-43,46,共3页 Information Technology and Informatization
关键词 数据挖掘 关联规则 WEB日志挖掘 个性化服务 Data minining Association rules Web log mining Personalized service
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