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。