Web Site Off-Line Structure Reconfiguration: A Web User Browsing Analysis
The correct web site text content must be help to the visitors to find what they are looking for. However, the reality is quite different, many times the web page text content is ambiguous, without meaning and worst, it don’t have relation with the topic that is shown as the main theme. One reason to this problem is the lack of contents with concept meaning in the web page, i.e., the utilization of words and sentences that show concepts, which finally is the visitor goal. In this paper, we introduce a new approach for improving the web site text content by extracting Concept-Based Knowledge from data originated in the web site itself. By using the concepts, a web page can be rewrite for showing more relevant information to the eventual visitor. This approach was tested in a real web site, showing its effectiveness
Unable to display preview. Download preview PDF.
- 1.Berendt, B., Spiliopoulou, M.: Analysis of navigation behavior in web sites integrating multiple information systems. The VLDB journal 9, 27–75 (2001)Google Scholar
- 2.Chakrabarti, S.: Data Mining for Hypertext: A Tutorial Survey. SIGKDD Explorations 1 (2000)Google Scholar
- 3.Eirinaki, M., Lampos, C., Paulakis, S., Vazirgiannis, M.: Web personalization integrating content semantics and navigational patterns. In: WIDM 2004: Proceedings of the 6th annual ACM international workshop on Web information and data management, pp. 72–79. ACM Press, New York (2004)CrossRefGoogle Scholar
- 9.Perkowitz, M.: Adaptative Web Sites: Cluster Mining and Conceptual Clustering for Index Page Synthesis. PhD thesis, Univerity of Washingtong (2001)Google Scholar
- 15.Velásquez, J.D., Yasuda, H., Aoki, T., Weber, R.: A new similarity measure to understand visitor behavior in a web site. IEICE Transactions on Information and Systems, Special Issues in Information Processing Technology for web utilization E87-D(2), 389–396 (2004)Google Scholar