How does a content-based recommendation engine work?
A content-based recommendation engine suggests items based on the features of the items themselves and the user's past preferences.
Can you give me an example of how it works in practice?
Sure! If you liked action movies, the engine would recommend other action movies based on their genre, cast, and director.
What are the advantages of using a content-based approach?
The main advantages include personalized recommendations, no need for user data from others, and the ability to recommend new items.
Are there any limitations to this approach?
Yes, it can struggle with recommending diverse items and may not suggest items outside the user's established preferences.
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