Machine Learning Intermediate
collaborative filtering
Making predictions about the interests of one user based on the interests of many other users.
Plain English Explanation
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.
How is it used?
Practitioners refer to collaborative filtering when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.