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

Nanas, Nikolaos, Uren, Victoria S. and de Roeck, Anne (2004). Nootropia : a user profiling model based on a self-organising term network. IN: UNSPECIFIED Nicosia, Giuseppe; Cutello, Vincenzo; Bentley, Peter J. and Timmis, Jon (eds) Lecture Notes in Computer Science . Berlin (DE): Springer.

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.

Publication DOI: https://doi.org/10.1007/978-3-540-30220-9_12
Divisions: Aston Business School > Operations & information management
Event Title: 3rd International Conference on Artificial Immune Systems
Event Type: Other
Event Dates: 2004-09-12 - 2004-09-16
Full Text Link: http://link.springer.com/chapter/10.1007%2F978-3-540-30220-9_12
Related URLs:
Published Date: 2004
Authors: Nanas, Nikolaos
Uren, Victoria S.
de Roeck, Anne

Export / Share Citation


Statistics

Additional statistics for this record