Final answer:
Collaborative filtering on platforms like Netflix recommends movies to a user based on their viewing habits and similarities with other users' preferences.
Step-by-step explanation:
Collaborative filtering is a technique used by recommendation systems to predict what a user may like based on their past behavior and the preferences of other users. In the case of Netflix, collaborative filtering monitors trends among customers to personalize an individual customer's experience. If you, for instance, like several films that many others enjoy and those people also like another movie you haven't seen, Netflix's algorithm would suggest that there's a high probability you'll enjoy that movie too. This process does not just calculate an average rating or sort movies by censor ratings; it personalizes recommendations based on user behavior patterns.