What is collaborative filtering in AI?

What is collaborative filtering in AI?

Collaborative filtering is a technique used in recommendation systems that predicts user preferences based on past behaviors.

Can you give me an example of how it works?

Sure! For instance, if two users have similar tastes in movies, collaborative filtering can recommend movies that one user liked to the other.

What are the types of collaborative filtering?

There are two main types: user-based and item-based collaborative filtering. User-based looks at user similarities, while item-based focuses on item similarities.

What are the advantages of using collaborative filtering?

Some advantages include personalized recommendations, improved user experience, and the ability to discover new items based on user preferences.