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Mining user access logs to optimize navigational structure of adaptive web sites

机译:挖掘用户访问日志以优化Adaptive Web站点的导航结构

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Web sites may contain numerous documents. Using some web techniques, it's possible to analyze users' data about using resources, contents of those documents and structure of web sites. Adaptive web sites automatically change their structure and representation based on visitor's behavior. Shortcutting is an approach that enables connecting two documents which has never been connected before. Most of existing approaches enables connecting the first and the last document in user's navigation path, not considering the possibility that some of the documents within the navigation path might contain useful information for reaching intended document. These documents, which are positioned within user's navigation path, are called wayposts, and they may contain useful information that can help users to get to the specific “target” document. The goal of this paperwork is to discuss about all the possibilities of identifying those waypost documents in users' navigation paths and to propose an optimization of navigation structure of a web site based on users' navigation paths, initial and target documents.
机译:网站可能包含许多文件。使用某些Web技术,可以分析用户的数据有关使用资源,这些文档的内容和网站结构的数据。自适应网站根据访问者的行为自动更改其结构和表示。捷径是一种方法,可以实现从未以前从未连接过的两种文档。现有方法中的大多数方法都可以在用户的​​导航路径中连接第一和最后一个文档,而不是考虑导航路径中的一些文档可能包含用于到达预期文档的有用信息的可能性。这些文件位于用户的导航路径中称为WayPosts,它们可能包含有用的信息,可以帮助用户到达特定的“目标”文档。本文的目标是讨论在用户导航路径中识别这些WayPost文档的所有可能性,并提出基于用户的导航路径,初始和目标文档来优化网站的导航结构。

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