Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model

Alexander Buchholz, Ben London, Giuseppe di Benedetto +1

A critical need for industrial recommender systems is the ability to evaluate recommendation policies offline, before deploying them to production. Unfortunately, widely used off-p…