How does content-based filtering work?

Can you explain how content-based filtering works in recommendation systems?

Sure! Content-based filtering recommends items based on the features of the items and the preferences of the user.

What kind of features are used in content-based filtering?

Features can include keywords, genres, or any attributes that describe the items, like movie ratings or product specifications.

How does it differ from collaborative filtering?

Collaborative filtering relies on user interactions and preferences, while content-based filtering focuses on item attributes.

Can you give an example of content-based filtering in action?

Certainly! If you liked action movies, a content-based system might recommend other action films based on their genre and themes.