BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs

Matrix factorization on sparse matrices has been proven to be an effective approach for data mining and machine learning. However, the prior parallel implementations for matrix factorization fail to capture the internal social property embedded in real-world use cases. This article presents an effic...

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