Intelligent Support for Information Retrieval in the WWW Environment

The main goal of this research was to investigate means of intelligent support for retrieval of web documents. We have proposed the architecture of the web tool system Trillian, which discovers the interests of users without their interaction and uses them for autonomous searching of related web content. Discovered pages are suggested to the user. The discovery of user interests is based on analysis of documents that users had visited in the past. We have shown that clustering is a feasible technique for extraction of interests from web documents. We consider the proposed architecture to be quite promising and suitable for future extensions.