How do collaborative filtering systems work?

Can you explain how collaborative filtering systems work?

Sure! Collaborative filtering systems recommend items based on user preferences and behaviors. They analyze data from multiple users to find patterns.

What types of collaborative filtering are there?

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

How do these systems handle new users or items?

That's a challenge known as the 'cold start' problem. They often use hybrid methods or rely on demographic data to make initial recommendations.

Can you give an example of a platform that uses collaborative filtering?

Absolutely! Netflix and Amazon both use collaborative filtering to suggest movies and products based on user preferences.