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Immune-inspired adaptive information filtering

Nanas, Nikolaos; De Roeck, Anne and Uren, Victoria (2006). Immune-inspired adaptive information filtering. In: Artificial immune systems, Lecture Notes in Computer Science, Springer, Berlin/Heidelburg, Germany, pp. 418–431.

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Adaptive information filtering is a challenging research problem. It requires the adaptation of a representation of a user’s multiple interests to various changes in them. We investigate the application of an immune-inspired approach to this problem. Nootropia, is a user profiling model that has many properties in common with computational models of the immune system that have been based on Franscisco Varela’s work. In this paper we concentrate on Nootropia’s evaluation. We define an evaluation methodology that uses virtual user’s to simulate various interest changes. The results show that Nootropia exhibits the desirable adaptive behaviour.

Item Type: Conference or Workshop Item
Extra Information: ISBN-13 for the book: 9783540377498
Keywords: adaptive information filtering; autopoetic systems
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Research Group: Centre for Research in Computing (CRC)
Item ID: 5460
Depositing User: Anne De Roeck
Date Deposited: 26 Sep 2006
Last Modified: 07 Dec 2018 08:58
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