eclipse配置mahout

1.在elcipse上建立一個java project 項目名：mymahout

 

2.建立libs文件夾，在mahout 0.9的lib文件夾下找到一下java包 

 

 

其中log4j.properties可在hadoop文件夾下找到。

把他們放到libs文件夾下。

3.把文件夾libs復制到mymahout項目下

4.點擊libs文件夾，右鍵，選擇Build Path，把libs文件夾下的文件引入。

5.建立類mahout，寫入如下代碼

import java.io.File;
import java.util.List;

import org.apache.mahout.cf.taste.impl.model.file.*;
import org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood;
import org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender;
import org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity;
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 Mahout {
    
    public static void main(String[] args) throws Exception
    {
        DataModel model=new FileDataModel(new File("/Users/jia/Desktop/test.txt"));
        UserSimilarity similarity =new PearsonCorrelationSimilarity(model);
        UserNeighborhood neighborhood =new NearestNUserNeighborhood(2,similarity,model);
        Recommender recommender= new GenericUserBasedRecommender(model,neighborhood,similarity);
        List<RecommendedItem> recommendations =recommender.recommend(1, 2);
        for(RecommendedItem recommendation :recommendations){
            System.out.println(recommendation);
        }
    }
}

 

6.運行結果 

紅色部分提示，如果結合hadoop集群跑，才會寫入日記文件。這里不是在聚群上跑，所以提示警告。