What is content-based filtering?

What is content-based filtering?

Content-based filtering is a recommendation system technique that suggests items based on the features of the items and the user's preferences.

How does it differ from collaborative filtering?

Unlike collaborative filtering, which relies on user interactions and preferences, content-based filtering focuses solely on the attributes of the items.

Can you give me an example of content-based filtering?

Sure! If you like action movies, a content-based filtering system might recommend other action movies based on their genre, director, or actors.

What are the advantages of using content-based filtering?

Some advantages include personalized recommendations, no need for user data from others, and the ability to recommend new items.