Github user sbourke commented on the pull request:
https://github.com/apache/spark/pull/3536#issuecomment-65391077
Re: Explaining similarity metric :+1: I'll do that.
Re: Cosine - no biggie to add. I used dot product because 1) Taking the
logic that CF is finding "similar" items based on the latent space for a user
when recommending products and 2) Using dot product would reduce the new code
added to MatrixFactorizationModel ( I don't want to create clutter :)) So :+1:
will change to cosine
Re: Popularity, I'll look into that as well then.
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