Deep Learning for Recommender Systems
In this talk, we will survey Deep Learning methods applied to personalization and recommendations. After providing an overview of the Netflix recommender system, we will be going over recently published research at the intersection of Deep Learning and recommender systems and how they relate to traditional collaborative filtering techniques. We will then highlight promising new directions in that space.
Yves Raimond is a Research/Engineering Director at Netflix, where he leads the Promotion & Growth Algorithm Engineering team: a mixed team of researchers and engineers building the next generation of Machine Learning algorithms used to drive the Netflix experience. Before that, he was a Lead Research Engineer in BBC R&D, working on information extraction from Multimedia content. He holds a PhD from Queen Mary, University of London.