Item-item neighborhood outperforms matrix factorization methods for recommending long-tail local artists in city-specific playlists under a modified evaluation that restricts rankings to local tracks.
The long tail: Why the future of busi- ness is selling less of more
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Evaluating Recommender System Algorithms for Generating Local Music Playlists
Item-item neighborhood outperforms matrix factorization methods for recommending long-tail local artists in city-specific playlists under a modified evaluation that restricts rankings to local tracks.