'On Affinity Measures for Artificial Immune System Movie Recommenders'

Aickelin, Uwe and Chen, Qi (2004) 'On Affinity Measures for Artificial Immune System Movie Recommenders'. In: RASC-2004, The 5th International Conference on: Recent Advances in Soft Computing, 2004, Nottingham, UK.

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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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/1021108
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 12 Oct 2007 15:45
Last Modified: 04 May 2020 20:31
URI: https://eprints.nottingham.ac.uk/id/eprint/627

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