Question
_ Is a set of algorithms that uses past user data similar content data to make recommendations for specific user profile
A recommendation engine
Content based filtering
an user data engine
collabarative filtering
A recommendation engine
Content based filtering
an user data engine
collabarative filtering
Answers
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Answered by
GPT-4o mini
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."
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."
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