#9: RecPack and Modularized Personalization by Froomle with Lien Michiels and Robin Verachtert

In episode nine of Recsperts we introduce RecPack which is the new recommender package for Python for easy, consistent and extensible experimentation and benchmarking. I talk to Lien Michiels and Robin Verachtert who are both industrial PhD students at the University of Antwerp. They also share how they provide modularized personalization for customers in the news and ecommerce sector at Froomle. In adition, we learn more about their research on filter bubbles as well as recommender model degradation and retraining.