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Abstract

Investigates the application of fuzzy logic and user modelling to information retrieval (IR) from the WWW. To overcome existing problems IR systems must become 'intelligent'. User modelling is employed in the form of user stereotypes represented as adaptive fuzzy sets. This novel approach is applied to query formulation. The results of using this approach in a prototype system are reported. In the system a query is refined before it is submitted to an existing WWW search engine. Results from a user study show that the prototype system improves upon the performance of the search engine alone