Michael O'Riordan

Incremental Recommendation via Causal Models

This work extends an existing production recommendation model to a causal architecture using holdback data that is already collected as part of routine experimentation infrastructure, and shows that joint training with holdback data improves calibration of the treated head relative to the production baseline, and argue...