algorithmsWhat a recommendation system actually predicts
A recommendation system ranks items using signals such as past interactions, item features or patterns across users. Its score predicts an objective, such as the likelihood of a click, rather than directly measuring personal value. What it recommends depends partly on what its designers choose to optimise.