diff --git a/docs/mllib-collaborative-filtering.md b/docs/mllib-collaborative-filtering.md
index 7b397e30b2d90e2f9ea22ed6cb4d0fb136a901c5..dfdf6216b270c3b0237510a9a61b926d06f924b4 100644
--- a/docs/mllib-collaborative-filtering.md
+++ b/docs/mllib-collaborative-filtering.md
@@ -107,7 +107,8 @@ other signals), you can use the `trainImplicit` method to get better results.
 
 {% highlight scala %}
 val alpha = 0.01
-val model = ALS.trainImplicit(ratings, rank, numIterations, alpha)
+val lambda = 0.01
+val model = ALS.trainImplicit(ratings, rank, numIterations, lambda, alpha)
 {% endhighlight %}
 </div>