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Author Aickelin, Uwe ♦ Chen, Qi
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Artificial Immune System Movie Recommenders ♦ Affinity Measure ♦ Weighted Kappa ♦ Movie Recommenders ♦ Robust Movie Recommenders ♦ Different Affinity Measure ♦ Collaborative Filtering ♦ Different Affinity Measure Algorithm ♦ Correlation Coefficient ♦ Artificial Immune System Work ♦ Previous Work ♦ Movie Problem ♦ Suitable Affinity Measure ♦ Movie Recommender ♦ Movie Recommendation System ♦ Artificial Immune System
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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Publisher Date 2004-01-01