Answer / Rohit Gautam

Recommender Systems are AI-based systems that suggest items (such as movies, songs, books, or products) to users based on their preferences and past behavior. There are two main types of recommender systems: collaborative filtering (which relies on user interactions with others), and content-based filtering (which focuses on item attributes). A hybrid approach that combines both methods can also be used for better recommendations.

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