Authors propose block-based SVD matrix factorization (BMF) for scalable recommender systems using CUDA and GPUs to improve performance and memory use.
Split-and-combine singular value decomposition for large- scale matrix
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Block based Singular Value Decomposition approach to matrix factorization for recommender systems
Authors propose block-based SVD matrix factorization (BMF) for scalable recommender systems using CUDA and GPUs to improve performance and memory use.