Research Article

Design and implementation of a web mining system for organizing search engine results

  1. Adam Schenker1,
  2. Mark Last2,
  3. Abraham Kandel1

Article first published online: 19 APR 2005

DOI: 10.1002/int.20086

Issue

International Journal of Intelligent Systems

International Journal of Intelligent Systems

Volume 20, Issue 6, pages 607–625, June 2005

Additional Information

How to Cite

Schenker, A., Last, M. and Kandel, A. (2005), Design and implementation of a web mining system for organizing search engine results. Int. J. Intell. Syst., 20: 607–625. doi: 10.1002/int.20086

Author Information

  1. 1

    Department of Computer Science and Engineering, University of South Florida, Tampa, FL 33620, USA

  2. 2

    Department of Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel

Publication History

  1. Issue published online: 19 APR 2005
  2. Article first published online: 19 APR 2005

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Abstract

We present the design and implementation of a web mining system that creates a hierarchical clustering of web documents retrieved by commercial web search engines. The cluster hierarchy is produced by a novel method called the Cluster Hierarchy Construction Algorithm (CHCA) and it can be used to explore the topics of interest related to the search query and their relationships. We discuss important design issues for our system, including stemming and dimensionality reduction, as well as some implementation details. We show examples of system results, compare them with results from similar systems, and analyze the responses to a survey of the system's users. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 607–625, 2005.

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