Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Automatic Topic Identification Using Webpage Clustering
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Proceedings of the 13th international conference on World Wide Web
Hierarchical Clustering Algorithms for Document Datasets
Data Mining and Knowledge Discovery
A personalized search engine based on web-snippet hierarchical clustering
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
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The results retrieved from common search engines are frequently not acceptable because of the large amounts of Web pages that are returned and the ambiguity of the results. Several authors have suggested grouping the Web pages by topics using clustering techniques.The application of these techniques involves different alternatives in different areas. Carrying out these research works could be easier and their cost lower if an experimentation hybrid system could be available that implemented the different alternatives or new ones could be added with a low cost.This work proposes an architecture of a Web information retrieval experimentation hybrid system that incorporates clustering techniques. This hybrid system is composed of different replaceable components, so that we could test different alternatives with a low cost. Later, using the proposed and the implemented system an empirical study is exposed in order to evaluate what type of clustering techniques is the most appropriate.