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 th...

Full description

Bibliographic Details
Main Authors: Cayzer, Steve, Aickelin, Uwe
Format: Article
Published: 2002
Online Access:https://eprints.nottingham.ac.uk/650/
_version_ 1848790454971138048
author Cayzer, Steve
Aickelin, Uwe
author_facet Cayzer, Steve
Aickelin, Uwe
author_sort Cayzer, Steve
building Nottingham Research Data Repository
collection Online Access
description 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.
first_indexed 2025-11-14T18:12:53Z
format Article
id nottingham-650
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T18:12:53Z
publishDate 2002
recordtype eprints
repository_type Digital Repository
spelling nottingham-6502020-05-04T20:32:20Z https://eprints.nottingham.ac.uk/650/ On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems Cayzer, Steve Aickelin, Uwe 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. 2002 Article PeerReviewed 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 .
spellingShingle Cayzer, Steve
Aickelin, Uwe
On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
title On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
title_full On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
title_fullStr On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
title_full_unstemmed On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
title_short On The Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems
title_sort on the effects of idiotypic interactions for recommendation communities in artificial immune systems
url https://eprints.nottingham.ac.uk/650/