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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1007/s11047-008-9068-x|
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Adaptive information filtering is a challenging and fascinating problem. It requires the adaptation of a representation of a user’s multiple interests to various changes in them. We tackle this dynamic problem with Nootropia, a model inspired by the autopoietic view of the immune system. It is based on a self-organising antibody network that reacts to user feedback in order to define and preserve the user interests. We describe Nootropia in the context of adaptive, content-based document filtering and evaluate it using virtual users. The results demonstrate Nootropia’s ability to adapt to both short-term variations and more radical changes in the user’s interests, and to dynamically control its size and connectivity in the process. Advantages over existing approaches to profile adaptation, such as learning algorithms and evolutionary algorithms are also highlighted.
|Item Type:||Journal Article|
|Copyright Holders:||2008 Springer Science+Business Media B.V.|
|Extra Information:||From the issue entitled "Special issue on Nature-inspired learning and adaptive systems".|
|Keywords:||immune-inspired; autopoiesis; adaptive information filtering|
|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)|
|Depositing User:||Catherine McNulty|
|Date Deposited:||15 Feb 2011 15:31|
|Last Modified:||08 Oct 2016 07:18|
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