Towards ensemble learning for hybrid music recommendation

Authors:
Marco Tiemann;Steffen Pauws
Affiliations:
Philips Research Europe, Eindhoven, Netherlands;Philips Research Europe, Eindhoven, Netherlands
Venue:
Proceedings of the 2007 ACM conference on Recommender systems
Year:
2007

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Abstract

We investigate ensemble learning methods for hybrid music recommender algorithms, combining a social and a content-based 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.