参考回答
Machine Learning is a subset of AI that allows systems to learn from data patterns and make decisions with minimal human intervention. In the context of recommendation engines, ML transforms a static experience into a personalized one. By using collaborative filtering (analyzing similar users) and content-based filtering (analyzing item attributes), ML predicts what a user wants next. This directly impacts Product Manager KPIs like session duration, click-through rate (CTR), and ultimately, Customer Lifetime Value (CLV).