SUGGEST: a Web usage mining system

R. Baraglia, P. Palmerini
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引用次数: 38

Abstract

During their navigation, Web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Sophisticated data mining processes are needed for this knowledge to be extracted, understood and used. In this paper, we propose a Web usage mining (WUM) system, called SUGGEST, which dynamically generates suggested links to Web pages of potential interest for a user. SUGGEST is designed to efficiently integrate the WUM process with the ordinary Web server functionalities. It can provide useful information to make the user's Web navigation easier and to optimize the Web server's performance. Two quantities are introduced in order to give a measure of the quality of our WUM system.
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建议:一个Web使用挖掘系统
在他们的导航过程中,Web用户留下了许多他们的活动记录。大量的数据可以成为有用的知识来源。需要复杂的数据挖掘过程来提取、理解和使用这些知识。在本文中,我们提出了一个Web使用挖掘(WUM)系统,称为SUGGEST,它动态地生成指向用户潜在兴趣的Web页面的建议链接。SUGGEST旨在有效地将WUM流程与普通Web服务器功能集成在一起。它可以提供有用的信息,使用户的Web导航更容易,并优化Web服务器的性能。为了给出我们WUM系统质量的一个度量,引入了两个量。
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