Distributed Matrix Factorization using Asynchrounous Communication

29 May 2017 Tom Vander Aa Imen Chakroun Tom Haber

Using the matrix factorization technique in machine learning is very common mainly in areas like recommender systems. Despite its high prediction accuracy and its ability to avoid over-fitting of the data, the Bayesian Probabilistic Matrix Factorization algorithm (BPMF) has not been widely used on large scale data because of the prohibitive cost... (read more)

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