基于Weblog的模式发现及应用的研究

Research on Pattern Discovery and Application Based on Weblog

近年来 ,由于电子商务 ,电子图书馆 ,远程教育等的应用 ,对 web站点设计和功能提出了更高的要求 ,要求 web站点具有智能性 .本文通过对 Weblog日志的挖掘 ,找出用户浏览页面的关联规则、聚类信息、访问路径等 ,并把它们应用到 web站点的智能化设计中 .主要讨论了站点的在线推荐 ,自适应设计问题 ,在此基础上简单介绍了一个 Weblog挖掘系统原型 Adaptive Web.Adaptive Web可创建自适应 web站点 ,使其具有部分智能 .

Currently, being widely applied in electronic business electronic library and remote education, Web is faced higher needs about it's site design and function. It needs Web must have some intelligence. In this paper, by mining Weblog, some user browsing patterns are discovered such as association rule, clustering pattern, accessing path and so on. Then those patterns are applied to design Web site and improve Web function. Online recommendation and adaptive Web site are discussed in detail and a prototype of Weblog mining system AdaptiveWeb is introduced. AdaptiveWeb can create adaptive Web site and make Web some intelligence.