The Open UniversitySkip to content

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 Sept 2004, Catania, Italy.

Google Scholar: Look up in Google Scholar


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 Item
Extra Information: pp. 146-160 in Proceedings
Keywords: information filtering; adaptive information filtering; auto-poetic systems
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Knowledge Media Institute
Other Departments > Vice-Chancellor's Office
Other Departments
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 5505
Depositing User: Anne De Roeck
Date Deposited: 10 Oct 2006
Last Modified: 14 Jan 2016 16:14
Share this page:

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340