Matrix factorization using alternating least squares for movie recommendation
The file recommend.jl contains a single run of the ALS algorithm with no cross-validation or parameter tuning.
The file recommend_full.jl contains the ALS algorithm with 10-fold cross-validation and considers ranges for three parameters: the number of features, the learning rate, and the maximum number of iterations of the algorithm.
Both files use the ratings.dat file from the 1M dataset from http://grouplens.org/datasets/movielens/