Displaying all 4 episodes

#3: Bandits and Simulators for Recommenders with Olivier Jeunen

In episode three I am joined by Olivier Jeunen, who is a postdoctoral scientist at Amazon. Olivier obtained his PhD from University of Antwerp with his work "Offline Approaches to Recommendation with Online Success". His work concentrates on Bandits, Reinforcement Learning and Causal Inference for Recommender Systems.

#2: Deep Learning based Recommender Systems with Even Oldridge

In episode two I am joined by Even Oldridge, Senior Manager at NVIDIA, who is leading the Merlin Team. These people are working on an open-source framework for building large-scale deep learning recommender systems and have already won numerous RecSys competitions.

#1: Practical Recommender Systems with Kim Falk

In this first interview we talk to Kim Falk, Senior Data Scientist, multiple RecSys Industry Chair and author of the book "Practical Recommender Systems"

#0: Launching Recsperts - the Recommender Systems Experts Podcast

In this first episode of Recsperts - Recommender Systems Experts I will introduce this new podcast show where we will have lots of interviews with experts in the field of recommender systems. From academia to industry, from application to theory - this podcast will cover all the topics in recommender systems.