_ Is a set of algorithms that uses past user data similar content data to make recommendations for specific user profile

Question

A recommendation engine
Content based filtering
an user data engine
collabarative filtering

Answer 1

The correct answer is A recommendation engine.

A recommendation engine is a system that uses algorithms to analyze past user data and similar content data to make personalized recommendations for a specific user profile.

Content-based filtering and collaborative filtering are techniques used within recommendation engines:

• Content-based filtering recommends items based on the features of the items themselves and the user's past preferences.
• Collaborative filtering makes recommendations based on the preferences of similar users.

However, the overarching term that encompasses these methods is "recommendation engine."