Github user mpjlu commented on the issue:
https://github.com/apache/spark/pull/18748
Did you test the performance of this, I tested the performance of MLLIB
recommendForUserSubset some days ago, the performance is not good. Suppose the
time of recommendForAll is 35s, recommend for 1/3 Users use this may need 90s.
Maybe it is faster to use recommendForAll then select 1/3 users. But if
recommend tens or hundreds of users, this is faster than recommendForAll. So
should we add come commends in the code about when it is better to use
recommendForUserSubset.
Thanks.
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