Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-01-28
Proceedings of the 5th International Conference on Recent Advances in Soft Computing (RASC 2004), Nottingham, UK
Computer Science
Neural and Evolutionary Computing
Scientific paper
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, Kendalls 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 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.
Aickelin Uwe
Chen Qi
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