Recommended Episode
#16: Fairness in Recommender Systems with Michael D. Ekstrand
In episode 16 of Recsperts, we hear from Michael D. Ekstrand, Associate Professor at Boise State University, about fairness in recommender systems. We discuss why fair...
Latest Episodes
#21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen
In episode 21 of Recsperts, we welcome Martijn Willemsen, Associate Professor at the Jheronimus Academy of Data Science and Eindhoven University of Technology. Martijn...
#20: Practical Bandits and Travel Recommendations with Bram van den Akker
In episode 20 of Recsperts, we welcome Bram van den Akker, Senior Machine Learning Scientist at Booking.com. Bram's work focuses on bandit algorithms and counterfactua...
#19: Popularity Bias in Recommender Systems with Himan Abdollahpouri
In episode 19 of Recsperts, we welcome Himan Abdollahpouri who is an Applied Research Scientist for Personalization & Machine Learning at Spotify. We discuss the role ...
#18: Recommender Systems for Children and non-traditional Populations
In episode 18 of Recsperts, we hear from Professor Sole Pera from Delft University of Technology. We discuss the use of recommender systems for non-traditional populat...
#17: Microsoft Recommenders and LLM-based RecSys with Miguel Fierro
In episode 17 of Recsperts, we meet Miguel Fierro who is a Principal Data Science Manager at Microsoft and holds a PhD in robotics. We talk about the Microsoft recomme...