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.
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Kłopotek, M.A., Ciesielski, K., Czerski, D., Dramiński, M., Wierzchoń, S.T. (2006). BEATCA: Map-Based Intelligent Navigation in WWW. In: Euzenat, J., Domingue, J. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2006. Lecture Notes in Computer Science(), vol 4183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861461_26
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DOI: https://doi.org/10.1007/11861461_26
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