Nanas, Nikolaos; Uren, Victoria and De Roeck, Anne
(2004).
| URL: | http://www.springerlink.com/content/987v3w53x8keca... |
|---|---|
| Google Scholar: | Look up in Google Scholar |
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 |
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| 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) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 5505 |
| Depositing User: | Anne De Roeck |
| Date Deposited: | 10 Oct 2006 |
| Last Modified: | 04 Oct 2016 09:55 |
| URI: | http://oro.open.ac.uk/id/eprint/5505 |
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