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On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems

Cayzer, Steve; Aickelin, Uwe

Authors

Steve Cayzer

Uwe Aickelin



Abstract

It has previously been shown that a recommender based on immune system idiotypic principles can outperform one based on correlation alone. This paper reports the results of work in progress, where we undertake some investigations into the nature of this beneficial effect. The initial findings are that the immune system recommender tends to produce different neighbourhoods, and that the superior performance of this recommender is due partly to the different neighbourhoods, and partly to the way that the idiotypic effect is used to weight each neighbour’s recommendations.

Journal Article Type Article
Journal Research Report BICAS-2002-15, HP Labs, Bristol, UK
Peer Reviewed Peer Reviewed
APA6 Citation Cayzer, S., & Aickelin, U. On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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pub-15.pdf (171 Kb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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