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OFAI-TR-2016-06 ( 182kB PDF file)

Mutual proximity graphs for music recommendation

Arthur Flexer, Jeff Stevens

We present mutual proximity graphs, which are an extension of mutual k-nearest neighbor (knn) graphs, and are able to avoid hub vertices having abnormally high connectivity. We apply this new approach in a music recommendation system based on an incrementally constructed knn graph. We show that mutual proximity graphs yield much better connected graphs with better reachability compared to knn graphs and mutual knn graphs.

Keywords: Music recommendation, hubness, k-nearest neighbor graphs, mutual proximity

Citation: Flexer A., Stevens J.: Mutual proximity graphs for music recommendation, Proceedings of the 9th International Workshop on Machine Learning and Music, Riva del Garda, Italy, 2016.