A recommendation system predicts which items a person is most likely to engage with, based on their past behaviour and the behaviour of others with similar tastes. It ranks a vast catalogue down to a short list tailored to each person.
The approach is powerful but can narrow what people encounter, reinforcing past preferences and hiding the unfamiliar. Thoughtful systems deliberately mix in variety and fresh items, because a recommender that only echoes the past stops being useful over time.