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Diffstat (limited to 'python/pyspark/ml/recommendation.py')
| -rw-r--r-- | python/pyspark/ml/recommendation.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/python/pyspark/ml/recommendation.py b/python/pyspark/ml/recommendation.py index db02684262..d7cb658465 100644 --- a/python/pyspark/ml/recommendation.py +++ b/python/pyspark/ml/recommendation.py @@ -54,8 +54,8 @@ class ALS(JavaEstimator, HasCheckpointInterval, HasMaxIter, HasPredictionCol, Ha and update the products based on these messages. For implicit preference data, the algorithm used is based on - "Collaborative Filtering for Implicit Feedback Datasets", available - at `http://dx.doi.org/10.1109/ICDM.2008.22`, adapted for the blocked + `"Collaborative Filtering for Implicit Feedback Datasets", + <http://dx.doi.org/10.1109/ICDM.2008.22>`_, adapted for the blocked approach used here. Essentially instead of finding the low-rank approximations to the |