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...

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.

Viewing alternatives

Item Actions

Export

You can export this page using these formats