Distributed Matrix Factorization

Spark GraphX for Factorization

Use of Spark's GraphX graph processing API to model the matrix as a bipartite graph (users-items) and execute factorization algorithms based on message passing between graph nodes, offering an alternative to DataFrame-based implementations.

← Wstecz