How are recommendations for new users (the overall ranking) calculated from collaborative filtering?
Collaborative filtering in general uses the learned latent factors for users and items (games in this case), and multiplies them to obtain estimated ratings for each item-user pair.
Turi Create's implementation also allows recommendations without any user context. These are currently used for the overall R.G rankings.
But how are they actually calculated?