Recommendation engines are a crucial part of our online experience, suggesting products, videos, and content that we might like. But have you ever wondered how they work? In this video, Martin Keen takes a deep dive into the world of recommendation engines, exploring the intersection of machine learning and personalization. From collaborative filtering to content-based filtering, to the benefits & challenges of AI recommendation engines, discover how machine learning powers the personalized experiences we love.
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IBM Technology
