diff --git a/src/main/java/com/tarzan/recommend/RecommendSystemApplication.java b/src/main/java/com/tarzan/recommend/RecommendSystemApplication.java
index 1b8fa68..3360e3e 100644
--- a/src/main/java/com/tarzan/recommend/RecommendSystemApplication.java
+++ b/src/main/java/com/tarzan/recommend/RecommendSystemApplication.java
@@ -12,10 +12,10 @@ public class RecommendSystemApplication {
 	public static void main(String[] args) {
 		//SpringApplication.run(RecommendSystemApplication.class, args);
 		System.out.println("------基于用户协同过滤推荐---------------下列电影");
-		List<ItemDTO> itemList= Recommend.userCfRecommend(2);
+		List<ItemDTO> itemList= Recommend.userCfRecommend(1);
 		itemList.forEach(e-> System.out.println(e.getName()));
 		System.out.println("------基于物品协同过滤推荐---------------下列电影");
-		List<ItemDTO> itemList1= Recommend.itemCfRecommend(2);
+		List<ItemDTO> itemList1= Recommend.itemCfRecommend(1);
 		itemList1.forEach(e-> System.out.println(e.getName()));
 	}
 
diff --git a/src/main/java/com/tarzan/recommend/core/CoreMath.java b/src/main/java/com/tarzan/recommend/core/CoreMath.java
index c64637b..8a9fd1f 100644
--- a/src/main/java/com/tarzan/recommend/core/CoreMath.java
+++ b/src/main/java/com/tarzan/recommend/core/CoreMath.java
@@ -33,8 +33,8 @@ public class CoreMath {
                 //关系系数
                 double coefficient = relateDist(v,userItems,type);
                 //关系距离
-                double distance=Math.abs(coefficient);
-                distMap.put(k,distance);
+             //   double distance=Math.abs(coefficient);
+                distMap.put(k,coefficient);
             }
         });
         return distMap;
diff --git a/src/main/resources/ml-100k/u.data-test b/src/main/resources/ml-100k/u.data-test
new file mode 100644
index 0000000..7a758cf
--- /dev/null
+++ b/src/main/resources/ml-100k/u.data-test
@@ -0,0 +1,10 @@
+1	1	1	847117005
+1	2	10	847642142
+1	3	1	847641896
+2	1	2	847642008
+2	3	2	847641956
+3	1	3	847641956
+3	3	3	847642073
+4	1	4	847642105
+4	2	1	847116751
+4	3	5	847116787