Immune-inspired adaptive information filtering

Nikolaos Nanas, Anne de Roeck, Victoria Uren

Research output: Chapter in Book/Published conference outputConference publication


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.
Original languageEnglish
Title of host publicationArtificial immune systems
Subtitle of host publication5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings
EditorsHugues Bersini, Jorge Carneiro
Place of PublicationBerlin (DE)
Number of pages14
ISBN (Electronic)978-3-540-37751-1
ISBN (Print)978-3-540-37749-8
Publication statusPublished - 2006
Event5th International Conference on Artificial Immune Systems - Oeiras, Portugal
Duration: 4 Sept 20064 Sept 2006

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Artificial Immune Systems
Abbreviated titleICARIS 2006


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