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The list of documents returned by Internet search engines in response to a query these days can be quite overwhelming. There is an increasing need for organising this information and presenting it in a more compact and efficient manner. This paper describes a method developed for the automatic clustering of World Wide Web documents, according to their relevance to the user's information needs, by using a hybrid neural network. The objective is to reduce the time and effort the user has to spenddoi:10.1016/j.asoc.2004.02.003 fatcat:wxtx7t6fgjc5jgfb5tp3kiypnq