Distributed Matrix Factorization

MapReduce for Factorization

Programming paradigm that decomposes matrix factorization algorithms into two main stages: a 'Map' stage for local computations on data fragments and a 'Reduce' stage to aggregate partial results and update matrix factors, used notably in Hadoop implementations.

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