mahout实现基于用户的Mahout推荐程序，实现mahout推荐程序, /*

mahout实现基于用户的Mahout推荐程序，实现mahout推荐程序, /*

    /*      * 这里做的是一个基于用户的Mahout推荐程序          * 这里利用已经准备好的数据。              * */      package byuser;      import java.io.File;      import java.io.IOException;      import java.util.List;      import org.apache.mahout.cf.taste.common.TasteException;      import org.apache.mahout.cf.taste.impl.model.file.FileDataModel;      import org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood;      import org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender;      import org.apache.mahout.cf.taste.model.DataModel;      import org.apache.mahout.cf.taste.neighborhood.UserNeighborhood;      import org.apache.mahout.cf.taste.recommender.RecommendedItem;      import org.apache.mahout.cf.taste.recommender.Recommender;      import org.apache.mahout.cf.taste.similarity.UserSimilarity;      public class RecommenderIntro {          public static void main(String[] args) {              // TODO Auto-generated method stub              try {                  //进行数据的装载                  DataModel model = new FileDataModel(new File("E:\\mahout项目\\examples\\intro.csv"));                  UserSimilarity similarity = new org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity(model);                  UserNeighborhood neighborhood = new NearestNUserNeighborhood(2, similarity, model);                  //生成推荐引擎                  Recommender recommender = new GenericUserBasedRecommender(model, neighborhood, similarity);                  //为用户已推荐一件商品recommend( , );其中参数的意思是：第几个人，然后推荐几件商品                  List<RecommendedItem> recommendations = recommender.recommend(1, 1);                  for(RecommendedItem recommendation : recommendations){                      System.out.println("根据您的浏览，为您推荐的商品是：" + recommendation);                  }              } catch (IOException e) {                  // TODO Auto-generated catch block                  e.printStackTrace();              } catch (TasteException e) {                  // TODO Auto-generated catch block                  e.printStackTrace();              }          }      }