Answer / Jagriti Shahi

Recommender systems are algorithms that help users discover new items they might like based on their past behavior or preferences. They can be categorized into collaborative filtering, content-based filtering, and hybrid methods. Collaborative filtering suggests items that other users with similar tastes have liked, while content-based filtering recommends items similar to those the user has previously interacted with.

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