Nootropia : a user profiling model based on a self-organising term network

Nikolaos Nanas, Victoria S. Uren, Anne de Roeck

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Artificial Immune Systems are well suited to the problem of using a profile representation of an individual’s or a group’s interests to evaluate documents. Nootropia is a user profiling model that exhibits similarities to models of the immune system that have been developed in the context of autopoietic theory. It uses a self-organising term network that can represent a user’s multiple interests and can adapt to both short-term variations and substantial changes in them. This allows Nootropia to drift, constantly following changes in the user’s multiple interests, and, thus, to become structurally coupled to the user.
Original languageEnglish
Title of host publicationArtificial immune systems
Subtitle of host publicationthird International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004. Proceedings
EditorsGiuseppe Nicosia, Vincenzo Cutello, Peter J. Bentley, Jon Timmis
Place of PublicationBerlin (DE)
PublisherSpringer
Pages146-160
Number of pages15
ISBN (Electronic)978-3-540-30220-9
ISBN (Print)978-3-540-23097-7
DOIs
Publication statusPublished - 2004
Event3rd International Conference on Artificial Immune Systems - Catania, Italy
Duration: 12 Sep 200416 Sep 2004

Publication series

NameLecture Notes in Computer Science
PublisherSpinger
Volume3239
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Artificial Immune Systems
Abbreviated titleICARIS 2004
CountryItaly
CityCatania
Period12/09/0416/09/04

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