Immune-inspired adaptive information filtering

Nikolaos Nanas, Anne de Roeck, Victoria Uren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
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)
PublisherSpringer
Pages418-431
Number of pages14
ISBN (Electronic)978-3-540-37751-1
ISBN (Print)978-3-540-37749-8
DOIs
Publication statusPublished - 2006
Event5th International Conference on Artificial Immune Systems - Oeiras, Portugal
Duration: 4 Sep 20064 Sep 2006

Publication series

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

Conference

Conference5th International Conference on Artificial Immune Systems
Abbreviated titleICARIS 2006
CountryPortugal
CityOeiras
Period4/09/064/09/06

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Information filtering
Immune system

Cite this

Nanas, N., de Roeck, A., & Uren, V. (2006). Immune-inspired adaptive information filtering. In H. Bersini, & J. Carneiro (Eds.), Artificial immune systems: 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings (pp. 418-431). (Lecture notes in computer science). Berlin (DE): Springer. https://doi.org/10.1007/11823940_32
Nanas, Nikolaos ; de Roeck, Anne ; Uren, Victoria. / Immune-inspired adaptive information filtering. Artificial immune systems: 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings. editor / Hugues Bersini ; Jorge Carneiro. Berlin (DE) : Springer, 2006. pp. 418-431 (Lecture notes in computer science).
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title = "Immune-inspired adaptive information filtering",
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.",
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Nanas, N, de Roeck, A & Uren, V 2006, Immune-inspired adaptive information filtering. in H Bersini & J Carneiro (eds), Artificial immune systems: 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings. Lecture notes in computer science, Springer, Berlin (DE), pp. 418-431, 5th International Conference on Artificial Immune Systems, Oeiras, Portugal, 4/09/06. https://doi.org/10.1007/11823940_32

Immune-inspired adaptive information filtering. / Nanas, Nikolaos; de Roeck, Anne; Uren, Victoria.

Artificial immune systems: 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings. ed. / Hugues Bersini; Jorge Carneiro. Berlin (DE) : Springer, 2006. p. 418-431 (Lecture notes in computer science).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Nanas N, de Roeck A, Uren V. Immune-inspired adaptive information filtering. In Bersini H, Carneiro J, editors, Artificial immune systems: 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings. Berlin (DE): Springer. 2006. p. 418-431. (Lecture notes in computer science). https://doi.org/10.1007/11823940_32