What are some examples of recommendation algorithms in use today?
There are several popular recommendation algorithms, such as collaborative filtering, content-based filtering, and hybrid methods.
Can you explain collaborative filtering?
Collaborative filtering predicts user preferences based on the preferences of similar users. It's widely used in platforms like Netflix and Amazon.
What about content-based filtering?
Content-based filtering recommends items based on the features of items a user has liked in the past, like genres or keywords.
Are there any hybrid recommendation systems?
Yes, hybrid systems combine both collaborative and content-based filtering to improve recommendation accuracy, like Spotify's music recommendations.
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