User-based Collaborative Filtering


User-based Collaborative Filtering is a technique used in recommendation systems to provide personalized recommendations to users based on their similarities with other users. It works by identifying users who have similar preferences and tastes and recommending items that these similar users have liked or rated highly. This technique relies on the assumption that users who have similar preferences in the past will have similar preferences in the future. User-based Collaborative Filtering is a popular technique in e-commerce, social media, and entertainment industries where personalized recommendations are crucial for user engagement and satisfaction.


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