Quantitative evaluation of Web site content and structure

Christian Bauer Arno Scharl

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Quantitative evaluation of Web site content and structure

机译：网站内容和结构的定量评估

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Data regarding the use of autonomous software tools to capture the characteristics of commercial Web information systems, determine their specific importance, and store them in a central data repository, are presented. The ultimate goal is to develop a consistent analysis and evaluation framework for publicly accessible hypertext structures. Based on the preprocessed information, a multi-methodological approach is chosen that comprises statistical clustering, textual analysis, supervised and non-supervised neural networks and manual classification for validation purposes.

机译：提供了有关使用自治软件工具来捕获商业Web信息系统的特征，确定其特定重要性并将其存储在中央数据存储库中的数据。最终目标是为可公开访问的超文本结构开发一致的分析和评估框架。基于预处理的信息，选择了一种多方法方法，该方法包括统计聚类，文本分析，有监督和无监督的神经网络以及用于验证目的的手动分类。

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《Library Computing》 |2000年第4期|p.134-147|共14页
作者
Christian Bauer Arno Scharl;
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The authors Christian Bauer (bauerc@cbs.curtin.edu.au) is at Electronic Commerce Network, Curtin University of Technology, Perth, Western Australia. Arno Scharl (scharl@wu-wien.ac.at) is at the Information Systems Department, Vienna University of Economics & BA, Vienna, Austria.;

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Quantitative evaluation of Web site content and structure

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