All Episodes
Displaying 1 - 26 of 26 in total
#25: RecSys 2024 Special
In episode 25, we talk about the upcoming ACM Conference on Recommender Systems 2024 (RecSys) and welcome a former guest to geek about the conference. Enjoy this enric...
#24: Video Recommendations at Facebook with Amey Dharwadker
In episode 24 of Recsperts, I sit down with Amey Dharwadker, Machine Learning Engineering Manager at Facebook, to dive into the complexities of large-scale video recom...
#23: Generative Models for Recommender Systems with Yashar Deldjoo
In episode 23 of Recsperts, we welcome Yashar Deldjoo, Assistant Professor at the Polytechnic University of Bari, Italy. Yashar's research on recommender systems inclu...
#22: Pinterest Homefeed and Ads Ranking with Prabhat Agarwal and Aayush Mudgal
In episode 22 of Recsperts, we welcome Prabhat Agarwal, Senior ML Engineer, and Aayush Mudgal, Staff ML Engineer, both from Pinterest, to the show. Prabhat works on re...
#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...
#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...
#15: Podcast Recommendations in the ARD Audiothek with Mirza Klimenta
In episode 15 of Recsperts, we delve into podcast recommendations with senior data scientist, Mirza Klimenta. Mirza discusses his work on the ARD Audiothek, a public b...
#14: User Modeling and Superlinked with Daniel Svonava
In episode number 14 of Recsperts we talk to Daniel Svonava, CEO and Co-Founder of Superlinked, delivering user modeling infrastructure. In his former role he was a se...
#13: The Netflix Recommender System and Beyond with Justin Basilico
This episode of Recsperts features Justin Basilico who is director of research and engineering at Netflix. Justin leads the team that is in charge of creating a person...
#12: From User Intent to Multi-Stakeholder Recommenders and Creator Economy with Rishabh Mehrotra
In episode number 12 of Recsperts we meet Rishabh Mehrotra, the Director of Machine Learning at ShareChat and former Staff Research Scientist & Area Tech Lead at Spoti...
#11: Personalized Advertising, Economic and Generative Recommenders with Flavian Vasile
In episode number 11 of Recsperts we meet Flavian Vasile who is a Principal Scientist at Criteo AI Lab. We dive into the specifics of personalized advertising and talk...
#10: Recommender Systems in Human Resources with David Graus
In episode ten of Recsperts we discuss the application of recommender systems to the human resources domain for matching people with jobs. I talk to David Graus, the D...
#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....
#8: Music Recommender Systems, Fairness and Evaluation with Christine Bauer
In episode number eight of Recsperts we discuss music recommender systems, the meaning of artist fairness and perspectives on recommender evaluation. I talk to Christi...
#7: Behavioral Testing with RecList for Recommenders with Jacopo Tagliabue
Episode number seven of Recsperts deals with behavioral testing for recommender systems. I talk to Jacopo Tagliabue, who is the founder of tooso and now director of ar...
#6: Purpose-Aware Privacy-Preserving Recommendations with Manel Slokom
Episode number six of Recsperts is about purpose-aware privacy-preserving data for recommender systems. My guest is Manel Slokom, who is a 4th year PhD student at Delf...
#5: Fashion Recommendations with Zeno Gantner
Episode number five of Recsperts revolves around fashion recommendations in general and at Zalando in specific. My guest is Zeno Gantner, who is a principal applied sc...
#4: Adversarial Machine Learning for Recommenders with Felice Merra
In episode four my guest is Felice Merra, who is an applied scientist at Amazon. Felice obtained his PhD from Politecnico di Bari where he was a researcher at the Inf...
#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 A...
#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 buildin...
#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...
