Movie Recommendation Engine with Spark Collaborative Filtering

Workflow preview
1. Create local Spark Context; 2. Read ratings.csv and movies.csv from movie-lens dataset into Spark (https://grouplens.org/datasets/movielens/); 3. Ask user for rating on 20 random movies to build user profile and include in training set; 4.Train Spark Collaborative Filtering Learner (Alternating Least Squares) algorithm https://www.infofarm.be/articles/alternating-least-squares-algorithm-recommenderlab; 5. Apply model to all other movies unrated by user; 6. Display recommendation results for user
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