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

Nanas, Nikolaos; Uren, Victoria and De Roeck, Anne (2004). Nootropia: a user profiling model based on a self-organising term network. In: Artificial Immune Systems: Third International conference. ICARIS 2004, 13-16 Sep 2004, Catania, Italy.

URL:	http://www.springerlink.com/content/987v3w53x8keca...
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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 shortterm 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.

Item Type:	Conference or Workshop Item
Extra Information:	pp. 146-160 in Proceedings
Keywords:	information filtering; adaptive information filtering; auto-poetic systems
Academic Unit/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Research Group:	Centre for Research in Computing (CRC)
Item ID:	5505
Depositing User:	Anne De Roeck
Date Deposited:	10 Oct 2006
Last Modified:	07 Dec 2018 08:58
URI:	http://oro.open.ac.uk/id/eprint/5505
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