[Berlin] AI & Cloud: Graph-Based Recommenders and Cost-Efficient Generative Architectures

A Sommelier’s Guide to Recommendation Algorithms: Classical and Graph-Based Recommender Systems by Moritz Wegener Recommendation engines are all around us – on Netflix, Spotify, Amazon and many other platforms, they subtly shape what we watch, listen to, or buy. In fact, around 80% of what users watch on Netflix comes from recommendations, making these systems critical for user satisfaction and engagement. But building effective recommendation systems comes with challenges: massive datasets, complex user preferences, and the need for fast, accurate predictions.