The Rise of Recommendation Engines

This episode explores the origins and inner workings of recommendation algorithms, from early collaborative filtering systems to the sophisticated machine learning models powering today's online experiences. We'll dive into how these algorithms analyze user data to surface personalized content, the unintended consequences of optimization for engagement, and the ethical dilemmas posed by algorithmic curation of information. Learn more about your ad choices. Visit megaphone.fm/adchoices