Explain collaborative filtering
Answer / Pradeep Kumar Yadav
Collaborative filtering is a technique used in recommendation systems to predict a user's preferences by analyzing the similarities between their behavior and that of other users. It works by finding users with similar tastes (neighbors) based on past interactions and making recommendations based on their preferences. Collaborative filtering can be used for applications such as movie, book, and music recommendations.
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