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-rw-r--r--docs/mllib-collaborative-filtering.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/mllib-collaborative-filtering.md b/docs/mllib-collaborative-filtering.md
index 0f891a09a6..d1bb6d69f1 100644
--- a/docs/mllib-collaborative-filtering.md
+++ b/docs/mllib-collaborative-filtering.md
@@ -20,7 +20,7 @@ algorithm to learn these latent factors. The implementation in `spark.mllib` has
following parameters:
* *numBlocks* is the number of blocks used to parallelize computation (set to -1 to auto-configure).
-* *rank* is the number of latent factors in the model.
+* *rank* is the number of features to use (also referred to as the number of latent factors).
* *iterations* is the number of iterations of ALS to run. ALS typically converges to a reasonable
solution in 20 iterations or less.
* *lambda* specifies the regularization parameter in ALS.