Immune-inspired adaptive information filtering

Nikolaos Nanas; Anne de Roeck; Victoria Uren

doi:10.1007/11823940_32

Immune-inspired adaptive information filtering

Nikolaos Nanas, Anne de Roeck, Victoria Uren

Operations & Information Management

Research output: Chapter in Book/Published conference output › Conference publication

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 language	English
Title of host publication	Artificial immune systems
Subtitle of host publication	5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings
Editors	Hugues Bersini, Jorge Carneiro
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	418-431
Number of pages	14
ISBN (Electronic)	978-3-540-37751-1
ISBN (Print)	978-3-540-37749-8
DOIs	https://doi.org/10.1007/11823940_32
Publication status	Published - 2006
Event	5th International Conference on Artificial Immune Systems - Oeiras, Portugal Duration: 4 Sept 2006 → 4 Sept 2006

Publication series

Name	Lecture notes in computer science
Publisher	Springer
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Artificial Immune Systems
Abbreviated title	ICARIS 2006
Country/Territory	Portugal
City	Oeiras
Period	4/09/06 → 4/09/06

Access to Document

10.1007/11823940_32

Cite this

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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{\textquoteright}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{\textquoteright}s work. In this paper we concentrate on Nootropia{\textquoteright}s evaluation. We define an evaluation methodology that uses virtual user{\textquoteright}s to simulate various interest changes. The results show that Nootropia exhibits the desirable adaptive behaviour.",

author = "Nikolaos Nanas and {de Roeck}, Anne and Victoria Uren",

year = "2006",

doi = "10.1007/11823940_32",

language = "English",

isbn = "978-3-540-37749-8",

series = "Lecture notes in computer science",

publisher = "Springer",

pages = "418--431",

editor = "Hugues Bersini and Jorge Carneiro",

booktitle = "Artificial immune systems",

address = "Germany",

note = "5th International Conference on Artificial Immune Systems, ICARIS 2006 ; Conference date: 04-09-2006 Through 04-09-2006",

}

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/Published conference output › Conference publication

TY - GEN

T1 - Immune-inspired adaptive information filtering

AU - Nanas, Nikolaos

AU - de Roeck, Anne

AU - Uren, Victoria

PY - 2006

Y1 - 2006

N2 - 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.

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.

UR - http://link.springer.com/chapter/10.1007/11823940_32

U2 - 10.1007/11823940_32

DO - 10.1007/11823940_32

M3 - Conference publication

SN - 978-3-540-37749-8

T3 - Lecture notes in computer science

SP - 418

EP - 431

BT - Artificial immune systems

A2 - Bersini, Hugues

A2 - Carneiro, Jorge

PB - Springer

CY - Berlin (DE)

T2 - 5th International Conference on Artificial Immune Systems

Y2 - 4 September 2006 through 4 September 2006

ER -

Immune-inspired adaptive information filtering

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