Recommendation systems have become an integral part of our lives during the past years: from the music we hear, the movies we watch, the news we read or even the people we're friends with. Since the Netflix prize challenge, the field has witnessed a major boost, offering some new and exciting approaches.
Today, we will give an overview of these approaches, starting with collaborative filtering, continuing with factorization machines and finally diving into deep learning implementations. We will discuss the challenges we encountered and the lessons we have learned from implementing a deep learning recommendation system in Taboola.
Following this overview, we will guide you through a hands-on workshop where you will practice TensorFlow and build a fully working recommendation system on your own!