BEATCA: map-based intelligent navigation in WWW

Authors:
Mieczysław A. Kłopotek;Krzysztof Ciesielski;Dariusz Czerski;Michał Dramiński;Sławomir T. Wierzchoń
Affiliations:
Institute of Computer Science, Polish Academy of Sciences, Warszawa, Poland;Institute of Computer Science, Polish Academy of Sciences, Warszawa, Poland;Institute of Computer Science, Polish Academy of Sciences, Warszawa, Poland;Institute of Computer Science, Polish Academy of Sciences, Warszawa, Poland;Institute of Computer Science, Polish Academy of Sciences, Warszawa, Poland
Venue:
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Year:
2006

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Abstract

In our research work, we explore the possibility to exploit incremental, navigational maps to build visual search-and-recommendation system. Multiple clustering algorithms may reveal distinct aspects of the document collection, just pointing to various possible meanings, and hence offer the user the opportunity to choose his/her own most appropriate perspective. We hope that such a system would become an important step on the way to information personalization. The paper presents the architectural design of our system.