Immune-Inspired adaptive information filtering

Authors:
Nikolaos Nanas;Anne de Roeck;Victoria Uren
Affiliations:
Computing Department, The Open University, Milton Keynes, U.K.;Computing Department, The Open University, Milton Keynes, U.K.;Knowledge Media Institute, The Open University, Milton Keynes, U.K.
Venue:
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Year:
2006

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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.