Question: How do you control false positive rate mining correlations? Answer: We use false positives as a negative feedback mechanism which refines our models.

Question: How do you control false positive rate mining correlations? Answer: We use false positives as a negative feedback mechanism which refines our models. We have dials for precision and recall depending on how much we want to risk looking stupid. I would be highly interested in seeing how strongly this feeds into their system. A bit too much of the false positivity taken into account could make them look way too cautious and hinder any sort of adventurous recommendations. I'm sure they have taken this into account, though.