Distributed Matrix Factorization

Spark MLlib ALS

Optimized and distributed implementation of the Alternating Least Squares algorithm within Spark's Machine Learning library, designed for large-scale matrix factorization by leveraging the RDD or DataFrame programming model for maximum efficiency on iterative data.

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