diff --git a/examples/src/main/java/org/apache/spark/examples/ml/JavaALSExample.java b/examples/src/main/java/org/apache/spark/examples/ml/JavaALSExample.java
index 81970b7c81f406bd48a77fbc333e533396aad604..60ef03d89d17b1b171e516999d6d2449083ae5e0 100644
--- a/examples/src/main/java/org/apache/spark/examples/ml/JavaALSExample.java
+++ b/examples/src/main/java/org/apache/spark/examples/ml/JavaALSExample.java
@@ -113,7 +113,15 @@ public class JavaALSExample {
       .setPredictionCol("prediction");
     Double rmse = evaluator.evaluate(predictions);
     System.out.println("Root-mean-square error = " + rmse);
+
+    // Generate top 10 movie recommendations for each user
+    Dataset<Row> userRecs = model.recommendForAllUsers(10);
+    // Generate top 10 user recommendations for each movie
+    Dataset<Row> movieRecs = model.recommendForAllItems(10);
     // $example off$
+    userRecs.show();
+    movieRecs.show();
+    
     spark.stop();
   }
 }
diff --git a/examples/src/main/python/ml/als_example.py b/examples/src/main/python/ml/als_example.py
index 2e7214ed56f980ec8c931dc9bc287ff05a802b89..1672d552eb1d5e6101ed47368c23378550e79e5e 100644
--- a/examples/src/main/python/ml/als_example.py
+++ b/examples/src/main/python/ml/als_example.py
@@ -55,5 +55,13 @@ if __name__ == "__main__":
                                     predictionCol="prediction")
     rmse = evaluator.evaluate(predictions)
     print("Root-mean-square error = " + str(rmse))
+
+    # Generate top 10 movie recommendations for each user
+    userRecs = model.recommendForAllUsers(10)
+    # Generate top 10 user recommendations for each movie
+    movieRecs = model.recommendForAllItems(10)
     # $example off$
+    userRecs.show()
+    movieRecs.show()
+
     spark.stop()
diff --git a/examples/src/main/scala/org/apache/spark/examples/ml/ALSExample.scala b/examples/src/main/scala/org/apache/spark/examples/ml/ALSExample.scala
index 868f49b16f2187e9453714998b86c319a5b219e4..07b15dfa178f7c3170e27b5e569e74035f1b9139 100644
--- a/examples/src/main/scala/org/apache/spark/examples/ml/ALSExample.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/ml/ALSExample.scala
@@ -75,7 +75,14 @@ object ALSExample {
       .setPredictionCol("prediction")
     val rmse = evaluator.evaluate(predictions)
     println(s"Root-mean-square error = $rmse")
+
+    // Generate top 10 movie recommendations for each user
+    val userRecs = model.recommendForAllUsers(10)
+    // Generate top 10 user recommendations for each movie
+    val movieRecs = model.recommendForAllItems(10)
     // $example off$
+    userRecs.show()
+    movieRecs.show()
 
     spark.stop()
   }