[GitHub] spark issue #18748: [SPARK-20679][ML] Support recommending for a subset of u...

[mpjlu <gi...@git.apache.org>]

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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