Skip to main content

Research Repository

Advanced Search

'On Affinity Measures for Artificial Immune System Movie Recommenders'

Aickelin, Uwe; Chen, Qi

'On Affinity Measures for Artificial Immune System Movie Recommenders' Thumbnail


Authors

Uwe Aickelin

Qi Chen



Abstract

Abstract. We combine Artificial Immune Systems (AIS) technology with Collaborative Filtering (CF) and use it to build a movie recommendation system. We already know that Artificial Immune Systems work well as movie recommenders from previous work by Cayzer and Aickelin ([3], [4], [5]). Here our aim is to investigate the effect of different affinity measure algorithms for the AIS. Two different affinity measures, Kendall's Tau and Weighted Kappa, are used to calculate the correlation coefficients for the movie recommender. We compare the results with those published previously and show that that Weighted Kappa is more suitable than others for movie problems. We also show that AIS are generally robust movie recommenders and that, as long as a suitable affinity measure is chosen, results are good.

Citation

Aickelin, U., & Chen, Q. (2004). 'On Affinity Measures for Artificial Immune System Movie Recommenders'.

Conference Name RASC-2004, The 5th International Conference on: Recent Advances in Soft Computing
Publication Date Jan 1, 2004
Deposit Date Oct 12, 2007
Publicly Available Date Oct 12, 2007
Peer Reviewed Peer Reviewed
Public URL https://nottingham-repository.worktribe.com/output/1021108

Files




Downloadable Citations