Recsperts - Recommender Systems Experts
A podcast by Marcel Kurovski

Categories:
29 Episodes
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#28: Multistakeholder Recommender Systems with Robin Burke
Published: 4/15/2025 -
#27: Recommender Systems at the BBC with Alessandro Piscopo and Duncan Walker
Published: 3/19/2025 -
#26: Diversity in Recommender Systems with Sanne Vrijenhoek
Published: 2/19/2025 -
#25: RecSys 2024 Special
Published: 10/12/2024 -
#24: Video Recommendations at Facebook with Amey Dharwadker
Published: 10/1/2024 -
#23: Generative Models for Recommender Systems with Yashar Deldjoo
Published: 8/16/2024 -
#22: Pinterest Homefeed and Ads Ranking with Prabhat Agarwal and Aayush Mudgal
Published: 6/6/2024 -
#21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen
Published: 4/8/2024 -
#20: Practical Bandits and Travel Recommendations with Bram van den Akker
Published: 11/16/2023 -
#19: Popularity Bias in Recommender Systems with Himan Abdollahpouri
Published: 10/12/2023 -
#18: Recommender Systems for Children and non-traditional Populations
Published: 8/17/2023 -
#17: Microsoft Recommenders and LLM-based RecSys with Miguel Fierro
Published: 6/15/2023 -
#16: Fairness in Recommender Systems with Michael D. Ekstrand
Published: 5/17/2023 -
#15: Podcast Recommendations in the ARD Audiothek with Mirza Klimenta
Published: 4/27/2023 -
#14: User Modeling and Superlinked with Daniel Svonava
Published: 3/15/2023 -
#13: The Netflix Recommender System and Beyond with Justin Basilico
Published: 2/15/2023 -
#12: From User Intent to Multi-Stakeholder Recommenders and Creator Economy with Rishabh Mehrotra
Published: 1/18/2023 -
#11: Personalized Advertising, Economic and Generative Recommenders with Flavian Vasile
Published: 12/15/2022 -
#10: Recommender Systems in Human Resources with David Graus
Published: 11/16/2022 -
#9: RecPack and Modularized Personalization by Froomle with Lien Michiels and Robin Verachtert
Published: 9/15/2022
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.