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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: Proceedings of the 5th International Conference, ICARIS, 4-6 Sept 2006, Oeiras, Portugal, Springer, pp. 418–431.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/11823940_32
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Abstract

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 Item
Extra Information: ISBN-13 for the book: 9783540377498
Keywords: adaptive information filtering; autopoetic systems
Academic Unit/Department: Mathematics, Computing and Technology
Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 5460
Depositing User: Anne De Roeck
Date Deposited: 26 Sep 2006
Last Modified: 02 Dec 2010 19:54
URI: http://oro.open.ac.uk/id/eprint/5460
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