public class MovieLensSQLExample
extends java.lang.Object

Example of recommendation system based on MovieLens dataset (see https://grouplens.org/datasets/movielens/) and SQL. In this example we create a cache with MovieLens rating data. Each entry in this cache represents a rating point (rating set by a single user to a single movie). Then we pass this cache to RecommendationTrainer and so that train RecommendationModel. This model predicts rating with assumed to be set by any user to any movie. When model is ready we calculate R2 score.