diff --git a/core/src/main/java/net/librec/math/algorithm/Randoms.java b/core/src/main/java/net/librec/math/algorithm/Randoms.java
index 882ef8b0c..9c2d62ee5 100644
--- a/core/src/main/java/net/librec/math/algorithm/Randoms.java
+++ b/core/src/main/java/net/librec/math/algorithm/Randoms.java
@@ -46,6 +46,10 @@ public static void seed(long seed) {
         r = new Random(seed);
     }
 
+    public static Random randomInstance() {
+        return r;
+    }
+
     /**
      * Random generate an integer in [min, max)
      *
diff --git a/core/src/main/java/net/librec/recommender/cf/ranking/ItemBigramRecommender.java b/core/src/main/java/net/librec/recommender/cf/ranking/ItemBigramRecommender.java
index 10cac0512..736d00e67 100644
--- a/core/src/main/java/net/librec/recommender/cf/ranking/ItemBigramRecommender.java
+++ b/core/src/main/java/net/librec/recommender/cf/ranking/ItemBigramRecommender.java
@@ -171,7 +171,7 @@ protected void setup() throws LibrecException {
             for (int itemIdxIndex = 0; itemIdxIndex < itemIdxList.size(); itemIdxIndex++) {
                 int itemIdx = itemIdxList.get(itemIdxIndex);
 
-                int topicIdx = (int) (Math.random() * numTopics);
+                int topicIdx = (int) (Randoms.uniform() * numTopics);
                 topicAssignments.put(userIdx, itemIdx, topicIdx);
 
                 userTopicNumbers.plus(userIdx, topicIdx, 1.0);
diff --git a/core/src/main/java/net/librec/recommender/cf/ranking/NMFItemItemRecommender.java b/core/src/main/java/net/librec/recommender/cf/ranking/NMFItemItemRecommender.java
index 7691e11dc..d919c0a20 100644
--- a/core/src/main/java/net/librec/recommender/cf/ranking/NMFItemItemRecommender.java
+++ b/core/src/main/java/net/librec/recommender/cf/ranking/NMFItemItemRecommender.java
@@ -20,6 +20,7 @@
 
 import com.google.common.collect.BiMap;
 import net.librec.common.LibrecException;
+import net.librec.math.algorithm.Randoms;
 import net.librec.math.structure.SequentialSparseVector;
 import net.librec.recommender.MatrixFactorizationRecommender;
 
@@ -146,11 +147,9 @@ protected void setup() throws LibrecException {
     private void initMatrix(double[][] m) {
         double initValue = 1d / (numItems * 2d);
 
-        Random random = new Random(123456789L);
-
         for (int i = 0; i < m.length; i++){
             for (int j = 0; j < m[i].length; j++){
-                m[i][j] = (random.nextDouble() + 1) * initValue;
+                m[i][j] = (Randoms.uniform() + 1) * initValue;
             }
         }
     }
diff --git a/core/src/main/java/net/librec/recommender/cf/ranking/PNMFRecommender.java b/core/src/main/java/net/librec/recommender/cf/ranking/PNMFRecommender.java
index e94165896..8d6c73d85 100644
--- a/core/src/main/java/net/librec/recommender/cf/ranking/PNMFRecommender.java
+++ b/core/src/main/java/net/librec/recommender/cf/ranking/PNMFRecommender.java
@@ -20,6 +20,7 @@
 
 import com.google.common.collect.BiMap;
 import net.librec.common.LibrecException;
+import net.librec.math.algorithm.Randoms;
 import net.librec.math.structure.SequentialSparseVector;
 import net.librec.recommender.MatrixFactorizationRecommender;
 
@@ -118,11 +119,9 @@ protected void setup() throws LibrecException {
     private void initMatrix(double[][] m) {
         double initValue = 1d / (numItems * 2d);
 
-        Random random = new Random(123456789L);
-
         for (int i = 0; i < m.length; i++){
             for (int j = 0; j < m[i].length; j++){
-                m[i][j] = (random.nextDouble() + 1) * initValue;
+                m[i][j] = (Randoms.uniform() + 1) * initValue;
             }
         }
     }
diff --git a/core/src/main/java/net/librec/recommender/cf/rating/RBMRecommender.java b/core/src/main/java/net/librec/recommender/cf/rating/RBMRecommender.java
index fdb35829b..e0b94d3aa 100644
--- a/core/src/main/java/net/librec/recommender/cf/rating/RBMRecommender.java
+++ b/core/src/main/java/net/librec/recommender/cf/rating/RBMRecommender.java
@@ -151,7 +151,7 @@ protected void setup() throws LibrecException {
             }
             for (int k = 0; k < softmax; k++) {
                 if (mtot == 0) {
-                    visbiases[i][k] = new Random().nextDouble() * 0.001;
+                    visbiases[i][k] = Randoms.uniform() * 0.001;
                 } else {
                     visbiases[i][k] = Math.log(((double) moviecount[i][k]) / ((double) mtot));
                 }
diff --git a/core/src/main/java/net/librec/recommender/content/ConvMFDocumentProvider.java b/core/src/main/java/net/librec/recommender/content/ConvMFDocumentProvider.java
index 68a185697..f17336da0 100644
--- a/core/src/main/java/net/librec/recommender/content/ConvMFDocumentProvider.java
+++ b/core/src/main/java/net/librec/recommender/content/ConvMFDocumentProvider.java
@@ -18,6 +18,7 @@
 package net.librec.recommender.content;
 
 import lombok.NonNull;
+import net.librec.math.algorithm.Randoms;
 import org.datavec.api.util.RandomUtils;
 import org.nd4j.linalg.primitives.Pair;
 
@@ -41,7 +42,7 @@ public class ConvMFDocumentProvider {
     private int numDoc;
 
     public ConvMFDocumentProvider(@NonNull List<String> documents, @NonNull List<double[]> labelsForSentences) {
-        this(documents, labelsForSentences, new Random());
+        this(documents, labelsForSentences, Randoms.randomInstance());
         if(documents == null) {
             throw new NullPointerException("document");
         } else if(labelsForSentences == null) {
@@ -71,7 +72,7 @@ public ConvMFDocumentProvider(@NonNull List<String> documents, @NonNull List<dou
                 for(int i = 0; i < documents.size(); this.order[i] = i++) {
                 }
 
-                RandomUtils.shuffleInPlace(this.order, rng);
+                RandomUtils.shuffleInPlace(this.order, this.rng);
             }
 
         }
@@ -97,7 +98,6 @@ public void reset() {
         if(this.rng != null) {
             RandomUtils.shuffleInPlace(this.order, this.rng);
         }
-
     }
 
     public int totalNumSentences() {