What is collaborative filtering?
A technique used by recommendation systems to predict a user's preferences based on the behavior of similar users
collaborative filtering explained in plain English
Collaborative filtering is a method that helps computers understand what people like or dislike by looking at what other people with similar tastes have liked or disliked
Analogy
Imagine you're at a restaurant and you ask the waiter for recommendations. The waiter says that people who liked the dish you're currently eating also liked another dish on the menu. That's similar to how collaborative filtering works, but instead of a waiter, it's a computer looking at what lots of people have liked or disliked
Example
When you watch a movie on Netflix and it recommends other movies that you might like, that's an example of collaborative filtering in action
How is collaborative filtering used?
Common misconceptions about collaborative filtering
History
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