Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/597#issuecomment-45647190
The results depend a whole lot on the choice of parameters. Did you try
some degree of search for the best lambda / # features? it's quite possible to
make a model that can't predict anything. I have generally found ALS works fine
on the Movielens data set.
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