Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/3098#issuecomment-89729632
I don't remember from the last time I tried the Netflix dataset but in
general MAP is low, like 0.05-0.1, even when recommendations are "good"
according to RMSE.
MAP only requires a ranking and so there is no difference in how you define
it when the input is ratings or clicks (explicit vs implicit). he input data
set does not need a ranking, just a notion of "relevant or not". The
recommendation is relevant / correct if the user actually interacted with it.
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