What are the different types of AI recommendation systems?

What are the different types of AI recommendation systems?

There are mainly three types: collaborative filtering, content-based filtering, and hybrid systems.

Can you explain how collaborative filtering works?

Collaborative filtering analyzes user behavior and preferences to recommend items based on similar users' choices.

What about content-based filtering?

Content-based filtering recommends items by comparing the content of items with user preferences, focusing on item features.

Which one is more effective?

It depends on the context; collaborative filtering excels with large user bases, while content-based is better for niche items.