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mahout学习(二)

下载测试数据:http://grouplens.org/datasets/movielens/   ml-100k.zip

public class TMahout02 {    public static void main(String[] args) throws IOException, TasteException {        //-配置并评估一个推荐程序-//        RandomUtils.useTestSeed();        DataModel model = new FileDataModel(new File("path/ua.base"));        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);                UserNeighborhood neighborhood =                        new NearestNUserNeighborhood(2, similarity, dataModel);                return new GenericUserBasedRecommender(dataModel, neighborhood, similarity);            }        };        double result = evaluator.evaluate(builder, null, model, 0.9, 1.0);        System.out.println(result);    }}

 

mahout学习(二)