Nanas, Nikolaos; De Roeck, Anne and Uren, Victoria
(2006).
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/11823940_32 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
Adaptive information filtering is a challenging research problem. It requires the adaptation of a representation of a user’s multiple interests to various changes in them. We investigate the application of an immune-inspired approach to this problem. Nootropia, is a user profiling model that has many properties in common with computational models of the immune system that have been based on Franscisco Varela’s work. In this paper we concentrate on Nootropia’s evaluation. We define an evaluation methodology that uses virtual user’s to simulate various interest changes. The results show that Nootropia exhibits the desirable adaptive behaviour.
| Item Type: | Conference Item |
|---|---|
| Extra Information: | ISBN-13 for the book: 9783540377498 |
| Keywords: | adaptive information filtering; autopoetic systems |
| Academic Unit/Department: | Mathematics, Computing and Technology Knowledge Media Institute |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 5460 |
| Depositing User: | Anne De Roeck |
| Date Deposited: | 26 Sep 2006 |
| Last Modified: | 02 Dec 2010 19:54 |
| URI: | http://oro.open.ac.uk/id/eprint/5460 |
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