Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-01-23
Proceedings of the 1st International Conference on Artificial Immune Systems (ICARIS 2002), pp 154-160, Canterbury, UK, 2001
Computer Science
Neural and Evolutionary Computing
Scientific paper
It has previously been shown that a recommender based on immune system idiotypic principles can out perform 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 neighbours recommendations.
Aickelin Uwe
Cayzer Steve
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