Group study of selected topics in Computer Sciences, usually relating to new developments.

In this course, you will learn how Big Tech (Facebook, TikTok, Amazon, Netflix, YouTube,etc.) develops content/product recommendation systems to provide customized experiences, increase engagement, and drive up customer satisfaction. Content-based, collaborative, knowledge-based, session-based, deep learning-based, and reinforcement learning-based systems will be explored. We’ll also delve into scoring, re-ranking, evaluation, deployment, ethics, decision-making psychology, and adversarial attacks. For each topic, we’ll cover definitions, reference papers, explore classical methods, look at current research, and list open questions. Lying at the intersection of machine learning and business, this course will be application-focused while prioritizing mathematical/technical rigor.

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