Nanas, Nikolaos; Vavalis, Manolis and De Roeck, Anne
(2010).
|
Due to copyright restrictions, this file is not available for public download Click here to request a copy from the OU Author. |
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/s11721-010-0044-6 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
Jerne’s idiotypic network theory stresses the importance of antibody-to-antibody interactions and provides possible explanations for self-tolerance and increased diversity in the immune repertoire. In this paper, we use an immune network model to build a user profile for adaptive information filtering. Antibody-to-antibody interactions in the profile’s network model correlations between words in text. The user profile has to be able to represent a user’s multiple interests and adapt to changes in them over time. This is a complex and dynamic engineering problem with clear analogies to the immune process of self-assertion. We present a series of experiments investigating the effect of term correlations on the user’s profile performance. The results show that term correlations can encode additional information, which has a positive effect on the profile’s ability to assess the relevance of documents to the user’s interests and to adapt to changes in them.
| Item Type: | Journal Article |
|---|---|
| Copyright Holders: | 2010 Springer Science and Business Media LLC |
| ISSN: | 1935-3820 |
| Extra Information: | Special Issue: Artificial Immune Systems. Guest Editors: Jon Timmis, Paul S. Andrews and Emma Hart
|
| Keywords: | information filtering; adaptive information filtering; term networks; swarm; immune network; autopoiesis |
| Academic Unit/Department: | Mathematics, Computing and Technology > Computing Mathematics, Computing and Technology |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 33097 |
| Depositing User: | Anne De Roeck |
| Date Deposited: | 01 Mar 2012 16:42 |
| Last Modified: | 01 Dec 2012 23:50 |
| URI: | http://oro.open.ac.uk/id/eprint/33097 |
Actions (login may be required)
| View Item | |
| Public: Report issue / request change |