A causal recommendation architecture using existing holdback data can reduce recommendation impressions by 7% without reducing overall content consumption

In a production-scale A/B test on millions of Spotify users, this policy reduces recommendation impressions by 7% with no statistically significant reduction in overall recommended content consumption.

http://arxiv.org/abs/2608.26804v1