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

Cayzer, Steve and Aickelin, Uwe (2002) On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems. Research Report BICAS-2002-15, HP Labs, Bristol, UK .

Full text not available from this repository.

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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/1022758
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 30 Oct 2007 16:05
Last Modified: 04 May 2020 20:32
URI: http://eprints.nottingham.ac.uk/id/eprint/650

Actions (Archive Staff Only)

Edit View Edit View