Paper

CuMF_SGD: Fast and Scalable Matrix Factorization

Matrix factorization (MF) has been widely used in e.g., recommender systems, topic modeling and word embedding. Stochastic gradient descent (SGD) is popular in solving MF problems because it can deal with large data sets and is easy to do incremental learning... (read more)

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