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Using Symbolic Objects to Cluster Web Documents

  • Esteban Meneses, Costa Rica Institute of Technology, Costa Rica
  • Oldemar Rodriguez-Rojas, University of Costa Rica, Costa Rica

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Track: Posters

Web Clustering is useful for several activities in the WWW, from automatically building web directories to improve retrieval performance. Nevertheless, due to the huge size of the web, a linear mechanism must be employed to cluster web documents. The k-means is one classic algorithm used in this problem. We present a variant of the vector model to be used with the k-means algorithm. Our representation uses symbolic objects for clustering web documents. Some experiments were done with positive results and future work is optimistic.


Meneses, E. and Rodríguez-Rojas, O. 2006. Using symbolic objects to cluster web documents. In Proceedings of the 15th International Conference on World Wide Web (Edinburgh, Scotland, May 23 - 26, 2006). WWW '06. ACM Press, New York, NY, 967-968.
DOI= http://doi.acm.org/10.1145/1135777.1135968

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