gistfile1.java

public class ItemBasedRecommender {
    public static void main(String[] args) throws Exception {
        DataModel model = new FileDataModel(new File("model.csv"));

        RecommenderBuilder recommenderBuilder = new RecommenderBuilder() {
            public Recommender buildRecommender(DataModel model) throws TasteException {
                ItemSimilarity similarity = new EuclideanDistanceSimilarity(model);
                return new GenericItemBasedRecommender(model, similarity);
            }
        };

        Recommender recommender = recommenderBuilder.buildRecommender(model);
        List<RecommendedItem> recomendations = recommender.recommend(1, 5);
        for (RecommendedItem recommendedItem : recomendations) {
            System.out.println(recommendedItem);    
        }

        RecommenderIRStatsEvaluator statsEvaluator = new GenericRecommenderIRStatsEvaluator();
        IRStatistics stats = statsEvaluator.evaluate(recommenderBuilder, null, model, null, 2, GenericRecommenderIRStatsEvaluator.CHOOSE_THRESHOLD, 1.0);

        System.out.println(stats.getPrecision());
        System.out.println(stats.getRecall());        
    }
}