Research finds data science techniques improve user engagement in AI-driven platforms, suggesting better user satisfaction.
This research explores how artificial intelligence and data science techniques can improve user experience in AI-driven digital platforms. The study analyzes user behavior patterns, engagement metrics, and predictive modeling approaches to enhance digital platform usability and performance. Machine learning models are applied to evaluate user interaction data and identify patterns that contribute to improved user engagement and satisfaction.
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Faheem Masood Shah (2026) studied this question.
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