mahout实现基于用户的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();  
            }  
        }  
    }  

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