Recsperts - Recommender Systems Experts

By Marcel Kurovski

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Category: Technology

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Subscribers: 1
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Episodes: 33

Description

Recommender Systems are the most challenging, powerful and ubiquitous area of machine learning and artificial intelligence. This podcast hosts the experts in recommender systems research and application. From understanding what users really want to driving large-scale content discovery - from delivering personalized online experiences to catering to multi-stakeholder goals. Guests from industry and academia share how they tackle these and many more challenges. With Recsperts coming from universities all around the globe or from various industries like streaming, ecommerce, news, or social media, this podcast provides depth and insights. We go far beyond your 101 on RecSys and the shallowness of another matrix factorization based rating prediction blogpost! The motto is: be relevant or become irrelevant! Expect a brand-new interview each month and follow Recsperts on your favorite podcast player.

Episode Date
#32: RecSys in the Delivery Industry at Wolt with Sasha Fedintsev
May 12, 2026
#31: Psychology-Aware Recommender Systems with Elisabeth Lex
Feb 19, 2026
#30: Serendipity for Recommender Systems with Annelien Smets
Jan 28, 2026
#29: Transformers for Recommender Systems with Craig Macdonald and Sasha Petrov
Aug 27, 2025
#28: Multistakeholder Recommender Systems with Robin Burke
Apr 15, 2025
#27: Recommender Systems at the BBC with Alessandro Piscopo and Duncan Walker
Mar 19, 2025
#26: Diversity in Recommender Systems with Sanne Vrijenhoek
Feb 19, 2025
#25: RecSys 2024 Special
Oct 12, 2024
#24: Video Recommendations at Facebook with Amey Dharwadker
Oct 01, 2024
#23: Generative Models for Recommender Systems with Yashar Deldjoo
Aug 16, 2024
#22: Pinterest Homefeed and Ads Ranking with Prabhat Agarwal and Aayush Mudgal
Jun 06, 2024
#21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen
Apr 08, 2024
#20: Practical Bandits and Travel Recommendations with Bram van den Akker
Nov 16, 2023
#19: Popularity Bias in Recommender Systems with Himan Abdollahpouri
Oct 12, 2023
#18: Recommender Systems for Children and non-traditional Populations
Aug 17, 2023
#17: Microsoft Recommenders and LLM-based RecSys with Miguel Fierro
Jun 15, 2023
#16: Fairness in Recommender Systems with Michael D. Ekstrand
May 17, 2023
#15: Podcast Recommendations in the ARD Audiothek with Mirza Klimenta
Apr 27, 2023
#14: User Modeling and Superlinked with Daniel Svonava
Mar 15, 2023
#13: The Netflix Recommender System and Beyond with Justin Basilico
Feb 15, 2023
#12: From User Intent to Multi-Stakeholder Recommenders and Creator Economy with Rishabh Mehrotra
Jan 18, 2023
#11: Personalized Advertising, Economic and Generative Recommenders with Flavian Vasile
Dec 15, 2022
#10: Recommender Systems in Human Resources with David Graus
Nov 16, 2022
#9: RecPack and Modularized Personalization by Froomle with Lien Michiels and Robin Verachtert
Sep 15, 2022
#8: Music Recommender Systems, Fairness and Evaluation with Christine Bauer
Aug 15, 2022
#7: Behavioral Testing with RecList for Recommenders with Jacopo Tagliabue
Jul 07, 2022
#6: Purpose-Aware Privacy-Preserving Recommendations with Manel Slokom
May 25, 2022
#5: Fashion Recommendations with Zeno Gantner
May 03, 2022
#4: Adversarial Machine Learning for Recommenders with Felice Merra
Feb 23, 2022
#3: Bandits and Simulators for Recommenders with Olivier Jeunen
Jan 03, 2022
#2: Deep Learning based Recommender Systems with Even Oldridge
Oct 31, 2021
#1: Practical Recommender Systems with Kim Falk
Oct 08, 2021
#0: Launching Recsperts - the Recommender Systems Experts Podcast
Sep 23, 2021