Abstract
Today, Portals provide users with a central point of access to companywide information. Initially they focused on presenting the most valuable and widely used information to users for efficient information access. But the amount of information accessible quickly grew and finding the right information can hence become a tedious task. We will demonstrate a solution for adapting the Portal's structure, especially its navigation and page structures. We allow for advanced adaptations that each user can perform manually as well as for automated adaptations based on user- and context models reflecting users' interests and preferences. Our main concepts have been embedded and evaluated within IBM's WebSphere Portal. © Springer-Verlag Berlin Heidelberg 2008.
Cite
CITATION STYLE
Nauerz, A., Welsch, M., & König-Ries, B. (2008). Adaptive Portals: Context adaptive navigation through large information spaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5149 LNCS, pp. 370–373). https://doi.org/10.1007/978-3-540-70987-9_56
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