collaborative filtering algorithms
Collaborative filtering algorithms are techniques used in recommender systems that help predict user preferences or recommendations by leveraging insights from a group of similar users. These algorithms analyze the collective behavior of users and their past interactions with items to make personalized suggestions or predictions for individual users.
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