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Recommender systems are AI algorithms designed to filter information and provide personalized suggestions based on user preferences and behaviors, widely used in e-commerce, media streaming, and social media platforms. They can utilize various techniques such as collaborative filtering, content-based filtering, and hybrid approaches to enhance user experience, increase engagement, and drive sales. Key challenges include the cold-start problem, data sparsity, and scalability issues, while context-aware and p

Author

annapurnabhavani8

Language

EN