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首页> 外文期刊>International Journal of Information Technology & Decision Making >Website Structure Improvement Based on the Combination of Selected Web Structure and Web Usage Mining Methods
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Website Structure Improvement Based on the Combination of Selected Web Structure and Web Usage Mining Methods

机译：网站结构改进基于选定的Web结构和Web使用挖掘方法的组合

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摘要

The different web mining methods and techniques can help to solve some typical issues of the contemporary websites, contribute to more effective personalization, improve a website structure and reorganize its web pages. However, only several papers tried to combine web structure and web usage mining (WUM) methods with this aim. The paper researches if and how the combination of selected web structure and WUM methods can identify misplaced web pages and how they can contribute to improving the website structure. The paper analyzes the relationship between the estimated importance of the web page from the web page creator’s point of view using the web structure mining method based on PageRank and visitors’ real perception of the importance of that individual web page using the WUM method based on sequence patterns analysis, which eliminates the problem with repeated visits of the same web page during one session. The results prove that the expected probability of accesses to the individual web page correlates with the observed visit rate obtained from the log files using the WUM method. Furthermore, the website can be improved based on the consequent application of the residual analysis on the obtained results. The applicability of the proposed combination of the web structure and WUM methods is presented on two case studies from different application domains of the contemporary web. As a result, the web pages, which are underestimated or overestimated by the web page creators, are successfully identified in both cases.
机译：不同的网络挖掘方法和技术可以帮助解决当代网站的一些典型问题，有助于更有效的个性化，改进网站结构并重新组织其网页。但是，只有几篇论文试图将Web结构和Web使用挖掘（WUM）方法结合起来。本文研究了所选Web结构和WUM方法的组合如何识别错位的网页以及它们如何促进改进网站结构。本文通过基于PageRank和访问者的实际看法，使用基于序列的WUM方法，使用基于PageRank和访问者的实际看法，使用Web结构挖掘方法来分析来自网页创建者的观点之间的关系。模式分析，消除了一个会话期间相同网页的重复访问的问题。结果证明，访问各个网页的预期概率与使用WUM方法从日志文件获得的观察到的访问速率相关联。此外，可以基于随后的剩余分析对所获得的结果的影响来改进网站。据提出的网状结构和WUM方法的适用性在当代网的不同应用领域的两种情况下提出。结果，在两种情况下成功地确定了由网页创建者低估或高估的网页。

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