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

Cayzer, Steve; Aickelin, Uwe

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.

Citation

Cayzer, S., & Aickelin, U. (2002). 'On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems'.

• Conference Name: 1st International Conference on Artificial Immune Systems (ICARIS - 2002)
• Publication Date: Jan 1, 2002
• Deposit Date: Oct 12, 2007
• Publicly Available Date: Oct 12, 2007
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/1022728