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Words, antibodies and their interactions

Nanas, Nikolaos; Vavalis, Manolis and De Roeck, Anne (2010). Words, antibodies and their interactions. Swarm Intelligence, 4(4) pp. 275–300.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1007/s11721-010-0044-6
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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: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
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: 05 Oct 2016 04:16
URI: http://oro.open.ac.uk/id/eprint/33097
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