Collaborative filtering is a recommendation technique that predicts a user's interests based on patterns in the preferences or behavior of many users. It is widely used to recommend products, media, content, or services without requiring detailed item descriptions.
Making predictions about the interests of one user based on the interests of many other users. Collaborative filtering is often used in recommendation systems. See Collaborative filtering in the Recommendation Systems course for more information.