mahout学习（一）

public class TMahout {

    public static void main(String[] args) throws IOException, TasteException {

        DataModel model = new FileDataModel(new File("path/dataset.csv"));

        UserSimilarity similarity = new PearsonCorrelationSimilarity(model);
        UserNeighborhood neighborhood = new ThresholdUserNeighborhood(0.1, similarity, model);

        UserBasedRecommender recommender = new GenericUserBasedRecommender(model, neighborhood, similarity);
        List<RecommendedItem> recommendations = recommender.recommend(2, 3);
        for (RecommendedItem recommendation : recommendations) {
            System.out.println(recommendation);
        }



        RecommenderEvaluator evaluator = new AverageAbsoluteDifferenceRecommenderEvaluator();
        RecommenderBuilder builder = new RecommenderBuilder() {
            @Override
            public Recommender buildRecommender(DataModel dataModel) throws TasteException {
                UserSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
                UserNeighborhood neighborhood = new ThresholdUserNeighborhood(0.1, similarity, dataModel);
                return new GenericUserBasedRecommender(dataModel, neighborhood, similarity);
            }
        };
        double result = evaluator.evaluate(builder, null, model, 0.9, 1.0);
        System.out.println(result);

    }

}