Abstract Linear Algebra II
Recommendation systems are algorithms designed to suggest relevant items or content to users based on their preferences, behaviors, and interactions. These systems play a crucial role in personalizing user experiences by analyzing large datasets to predict what users might like, thus driving engagement and satisfaction.
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