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Probabilistic Matrix Factorization for Music Recommendation

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Probabilistic Matrix Factorization for Music Recommendation Lu Liu 1 1. Introduction For the Kernelized PMF models, we used 2 additional inputs: user network(Figure 1(a)), and artist tag assignments (Figure Recommender systems are one of the most successful and 1(c)). widespread application of machine learning technologies. Recommender for music is immensely useful as it help us sift through an unprecedented…

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