public class myMahout { public static void main(String args[]) throws Exception { DataModel model = new FileDataModel(new File("C:/total.csv")); // 选择数据文件MovieLen RecommenderEvaluator evaluator = new AverageAbsoluteDifferenceRecommenderEvaluator(); RecommenderBuilder builder = new RecommenderBuilder() { @Override public Recommender buildRecommender(DataModel model) throws TasteException { UserSimilarity similarity = new PearsonCorrelationSimilarity( model); // 选择相似度计算方法 UserNeighborhood neighborhood = new NearestNUserNeighborhood( 10, similarity, model); // 10 表示邻居数目 return new GenericUserBasedRecommender(model, neighborhood, similarity); } }; double score = evaluator.evaluate(builder, null, model, 0.8, 1.0); // 80%的训练集合,100%的原始数据 System.out.println(score);//MAE } } 刚收到 mahout in action,45刀, mahout 做协同过滤推荐时间效率非常高,但是精度却比较差,只能依靠自己重写推荐算法吗?