Meta PAMO Agent Boosts App Recommendations via Cross-App History
The deferral-first training trick is the transferable idea: rather than letting an agent freely rewrite rankings, PAMO rewards overrides only when they preserve accuracy. Developers building recommendation or agent systems can apply the same counterfactual masking to any cross-context personalisation task. It also frames the privacy tension of pooling history across apps, a question regulators and platform teams will face as personal agents spread.