# Recommendation Systems **Domain:** Machine Learning / Attention Governance **Doc Type:** System Class **Maturity:** Developed **Related:** [[Attention Economy]], [[Reward Prediction Error]], [[Variable-Ratio Schedule]], [[Objective Function]], [[Schedule and Loop]] ## Definition Recommendation systems rank and select items for a person using behavioral traces, content signals and continuously updated models. ## Schedule–Loop Context They embody the merger: cybernetic instrumentation constructs a model of the user while behaviorist objectives shape what is delivered and when. The constitutional question is who chooses the objective function and whether the subject can inspect or alter it. ## Backlinks - [[Schedule and Loop]] - [[articles/Schedule and Loop|Schedule and Loop]] - [[Russia and Prussia Kybernetiks]]