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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)
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