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.
Justin Basilico is a Research/Engineering Director for Page Algorithms Engineering at Netflix. He leads an applied research team focused on developing the next generation of algorithms used to generate the Netflix homepage through machine learning, recommendation, and large-scale software engineering. Prior to Netflix, he worked on machine learning in the Cognitive Systems group at Sandia National Laboratories.