Companies all over the world are increasingly utilizing recommender systems. These algorithms can be used by online stores, streaming services, or social networks to recommend items to users based on their previous behavior (either consumed items or searched items). There are several approaches to developing recommendation systems. We can build a recommender system based on the content of the item so that the system recommends similar items to the ones the user usually likes (Content-Based recommender
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