eclipse配置mahout

1.在elcipse上建立一个java project 项目名：mymahout

 

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

 

 

其中log4j.properties可在hadoop文件夹下找到。

把他们放到libs文件夹下。

3.把文件夹libs复制到mymahout项目下

4.点击libs文件夹，右键，选择Build Path，把libs文件夹下的文件引入。

5.建立类mahout，写入如下代码

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.运行结果 

红色部分提示，如果结合hadoop集群跑，才会写入日记文件。这里不是在聚群上跑，所以提示警告。