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.

URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-081

BibTeX:

@inproceedings{REWERSE-RP-2006-081,
	author = {Mieczys\law A. K\lopotek and Krzysztof Ciesielski and Dariusz Czerski and Micha\l Dramiński and S\lawomir T. Wierzchoń},
	title = {BEATCA: map-based intelligent navigation in WWW},
	booktitle = {Proceedings of 12th International Conference on Artificial Intelligence: Methodology, Systems, Applications, Varna, Bulgaria (13th--15th September 2006)},
	year = {2006},
	volume = {4183},
	series = {LNAI},
	pages = {245--254},
	url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-081}
}