In this workshop, you’ll learn the history and core ideas behind recommender systems, what they are, how they work, and how to build one yourself from the ground up🛠️. We’ll cover a range of approaches, from collaborative filtering to ranking models and data-mining techniques ⛏️, so you can see how real-world recommenders make decisions. Then we’ll switch from theory to hands-on: you’ll take part in an interactive activity where you’ll build and experiment with your own recommender model 🎯⚙️. Come ready to learn, tinker, and leave with something you can keep improving after the workshop 🚀🎉.