Applying Adaptive Strategies for Website Design Improvement

  • Vinodani Katiyar
  • Kamal Kumar Srivastava
  • Atul Kumar
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 166)

Abstract

The use of web data mining to maintain websites and improve their functionalities is an important field of study. Web site data may be unstructured to semi structured whose purpose to show the relevant data to user. This is possible only when we understand the specifics preferences that define the visitor behavior in a web site. The two predominant paradigms for finding information on the Web are navigation and search subsequently we can design a adaptive website. With the growth of World Wide Web, development of web-based technologies and the growth in web content, the structure of a website becomes more complex and web navigation becomes a critical issue to both web designers and users. In this paper we propose the method to know the significance of website by applying adaptive strategy that is dynamic map and highlights and buffering .The effect of dynamic map is apparent it can improve adaptive level of a website. Highlighting can shorten the time to find user’s objective pages, and buffering pages can reduce page’s response time.

Keywords

Web usage mining Web Topology User Navigation Pattern adaptive strategy 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Vinodani Katiyar
    • 1
  • Kamal Kumar Srivastava
    • 1
  • Atul Kumar
    • 1
  1. 1.Department of Computer Science & EngineeringSRMCEMLucknowIndia

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