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We investigate ensemble learning methods for hybrid music recommender algorithms, combining a social and a contentbased recommender algorithm as weak learners by applying a combination rule to unify the weak learners' output. A first experiment suggests that such a combination can already reduce the mean absolute prediction error compared to the weak learners' individual errors.doi:10.1145/1297231.1297265 dblp:conf/recsys/TiemannP07 fatcat:2whpdhgnjzbkhkqoefexutwnoq