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CORR
2008
Springer

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

8 years 12 months ago
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
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.
Steve Cayzer, Uwe Aickelin
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CORR
Authors Steve Cayzer, Uwe Aickelin
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