How do collaborative filtering algorithms work?

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How do collaborative filtering algorithms work?

Collaborative filtering algorithms work by analyzing the behavior and preferences of a group of users to make recommendations. These algorithms identify patterns and similarities among users based on their past interactions with items or products. By comparing the preferences of similar users, collaborative filtering algorithms can predict the interests and preferences of a user and recommend items that they are likely to enjoy. This approach relies on the assumption that users who have similar tastes in the past will have similar tastes in the future.