package org.conan.mymahout.recommendation;
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.recommender.GenericItemBasedRecommender;
import org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity;
import org.apache.mahout.cf.taste.model.DataModel;
import org.apache.mahout.cf.taste.recommender.RecommendedItem;
import org.apache.mahout.cf.taste.recommender.Recommender;
import org.apache.mahout.cf.taste.similarity.ItemSimilarity;
public class ItemCF {
public static void main(String[] args) throws IOException, TasteException {
List<RecommendedItem> recommendations = null;
DataModel model = new FileDataModel(new File("C:\\Users\\dell\\Desktop\\new_ratings.csv"));//构造数据模型，File-based
ItemSimilarity similarity = new PearsonCorrelationSimilarity(model);//计算内容相似度
Recommender recommender = new GenericItemBasedRecommender(model, similarity);//构造推荐引擎
recommendations = recommender.recommend(163759, 10);//为用户542推荐10个物品
//打印推荐的结果
if(recommendations!=null) {
for (RecommendedItem recommendedItem : recommendations) {
System.out.println(recommendedItem);
}
System.out.println(recommender.estimatePreference(163759,10));
}
}
}
