Github user coderh commented on the pull request:
https://github.com/apache/spark/pull/597#issuecomment-45640620
I have recently tested expected percentile rank evaluation method proposed
in the paper on the Movielens data set and a real world data set. However, I
got a expected rank about 50% in both set, according to the paper, that means
implicit ALS actually does not predict anything.
I am not sure if any evaluation has been done like this.
How can we make sure that implicit ALS is implemented correctly in MLlib
without checking code?
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