Ensemble Learning for Hybrid Music Recommendation
نویسندگان
چکیده
We investigate ensemble learning methods for hybrid music recommenders, combining a social and a content-based recommender algorithm in an initial experiment by applying a simple combination rule to merge recommender results. A first experiment suggests that such a combination can reduce the mean absolute prediction error compared to the used recommenders’ individual errors.
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