How does machine learning contribute to better user recommendations? 🔊
Machine learning contributes to better user recommendations by analyzing historical data and identifying patterns in user behavior. Through algorithms, machine learning models can predict what products, services, or content a user might prefer based on previous interactions and similarities with other users. This personalized approach enhances user experience, increases engagement, and drives conversions as recommendations become more relevant and timely.
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