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It has previously been shown that a recommender based on immune systemidiotypic principles can out perform one based on correlation alone. This paperreports the results of work in progress, where we undertake some investigationsinto the nature of this beneficial effect. The initial findings are that theimmune system recommender tends to produce different neighbourhoods, and thatthe superior performance of this recommender is due partly to the differentneighbourhoods, and partly to the way that the idiotypic effect is used toweight each neighbours recommendations.

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