DataModel model = new FileDataModel(new File("data/dataset2.csv"));  //load data from file needed for analyzing data model

UserSimilarity similarity = new LogLikelihoodSimilarity(model); //log likelihood similarity will be used for making recommendation

UserNeighborhood neighborhood = new NearestNUserNeighborhood(10, similarity, model);  //Define a group of user most similar to a given user

Recommender recommender = new GenericUserBasedRecommender(model, neighborhood, similarity); // creates a recommendation engine

System.out.println("=========================================================");
 List<RecommendedItem> recommendations = recommender.recommend(6, 5);

 for (RecommendedItem recommendation : recommendations) {
      System.out.println(recommendation);
                                                        }
 System.out.println("=========================================================");