package test;

import java.io.IOException;

import java.util.List;

import org.apache.mahout.cf.taste.common.TasteException;

import org.apache.mahout.cf.taste.eval.IRStatistics;

import org.apache.mahout.cf.taste.eval.RecommenderBuilder;

import org.apache.mahout.cf.taste.eval.RecommenderEvaluator;

import org.apache.mahout.cf.taste.eval.RecommenderIRStatsEvaluator;

import org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator;

import org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator;

import org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator;

import org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource;

import org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel;

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.EuclideanDistanceSimilarity;

import org.apache.mahout.cf.taste.model.DataModel;

import org.apache.mahout.cf.taste.model.JDBCDataModel;

import org.apache.mahout.cf.taste.recommender.RecommendedItem;

import org.apache.mahout.cf.taste.recommender.Recommender;

import org.apache.mahout.cf.taste.similarity.UserSimilarity;

import com.mysql.jdbc.jdbc2.optional.MysqlDataSource;

import utils.RecommendUtils;

public class Main {

public static void main(String[] args) throws TasteException, IOException {

ConnectionPoolDataSource connectionPool = new ConnectionPoolDataSource(RecommendUtils.getRecommendDateSource());

JDBCDataModel model = new MySQLJDBCDataModel(connectionPool, "userperference", "student_Id", "competition_Id", "perferences", "time");

UserSimilarity userSim = new EuclideanDistanceSimilarity(model);

NearestNUserNeighborhood userNei = new NearestNUserNeighborhood(10, userSim, model);

Recommender cachingRecommender = new GenericUserBasedRecommender(model, userNei, userSim);

RecommenderBuilder bulider = new RecommenderBuilder() {

@Override

public Recommender buildRecommender(DataModel model) throws TasteException {

return new GenericUserBasedRecommender(model, userNei, userSim);

}

};

for(LongPrimitiveIterator it =model.getUserIDs();it.hasNext();)

{

long userId =it.nextLong();

List<RecommendedItem> recommendations = cachingRecommender.recommend(userId, 1);

if(recommendations.size() ==0)

{

System.out.println("UserId"+userId+":no Recommendations");

}

for (RecommendedItem recommendedItem : recommendations) {

System.out.println("UserId"+userId+":"+recommendedItem);

}

}

}

}