The Alternating Least Squares (ALS) algorithm is applied to given user-item ratings to predict the ratings of unrated items.
The training set consists of 20 million ratings. The testing set is made up of 1.4 million user-item pairs.
The MAE acquired on the testing set is 0.6537.