Matrix Factorization for movie recommendation using Spark
This script runs DSGD on matrix factorization using Spark Input format is as follows: main(num_factors, num_workers, num_iter, betaVal, lambdaVal, inputV_filepath, outputW_filepath, outputH_filepath)
Output are two csv files, H.csv and W.csv representing the two factorized matrices of latent factors and existing variables (customers and movies)