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Recsperts - Recommender Systems Experts

by Marcel Kurovski

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Latest episodes

#34: From Consumer Memory to Semantic IDs: Generative RecSys for Quick Commerce with Raghav Saboo

September 23, 2026 · 1 hr 44 min

In episode 34 of Recsperts, I'm joined by Raghav Saboo, Staff Machine Learning Engineer at DoorDash and Tech Lead for Personalization and Search for New Verticals — groceries, convenience, retail, alcohol, pet supplies and more, beyond the…
#33: Useful Recommender Systems and 20 Years of RecSys with Joseph Konstan

September 1, 2026 · 1 hr 25 min

In episode 33 of Recsperts, I speak with Joseph A. Konstan, Distinguished McKnight University Professor and Distinguished University Teaching Professor at the University of Minnesota, co-founder of GroupLens, and the very first General…
#32: RecSys in the Delivery Industry at Wolt with Sasha Fedintsev

May 12, 2026 · 1 hr 49 min

In episode 32 of Recsperts, I’m joined by my colleague Sasha Fedintsev, Staff Applied Scientist at Wolt (DoorDash), working across personalization and ads, to unpack the realities of building large-scale recommender systems in food…
#31: Psychology-Aware Recommender Systems with Elisabeth Lex

February 19, 2026 · 1 hr 37 min

In episode 31 of Recsperts, I sit down with Elisabeth Lex, Full Professor of Human-Computer Interfaces and Inclusive Technologies at Graz University of Technology and a leading researcher at the intersection of recommender systems…
#30: Serendipity for Recommender Systems with Annelien Smets

January 28, 2026 · 1 hr 32 min

In episode 30 of Recsperts, I speak with Annelien Smets, Professor at Vrije Universiteit Brussel and Senior Researcher at imec-SMIT, about the value, perception, and practical design of serendipity in recommender systems. Annelien…

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#29: Transformers for Recommender Systems with Craig Macdonald and Sasha Petrov

August 27, 2025 · 1 hr 37 min

In episode 29 of Recsperts, I welcome Craig Macdonald, Professor of Information Retrieval at the University of Glasgow, and Aleksandr “Sasha” Petrov, PhD researcher and former applied scientist at Amazon. Together, we dive deep into…
#28: Multistakeholder Recommender Systems with Robin Burke

April 15, 2025 · 1 hr 35 min

In episode 28 of Recsperts, I sit down with Robin Burke, professor of information science at the University of Colorado Boulder and a leading expert with over 30 years of experience in recommender systems. Together, we explore…
#27: Recommender Systems at the BBC with Alessandro Piscopo and Duncan Walker

March 19, 2025 · 1 hr 28 min

In episode 27 of Recsperts, we meet Alessandro Piscopo, Lead Data Scientist in Personalization and Search, and Duncan Walker, Principal Data Scientist in the iPlayer Recommendations Team, both from the BBC. We discuss how the BBC…
#26: Diversity in Recommender Systems with Sanne Vrijenhoek

February 19, 2025 · 1 hr 36 min

In episode 26 of Recsperts, I speak with Sanne Vrijenhoek, a PhD candidate at the University of Amsterdam’s Institute for Information Law and the AI, Media & Democracy Lab. Sanne’s research explores diversity in recommender systems…
#25: RecSys 2024 Special

October 12, 2024 · 40 min

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 enriching episode of RECSPERTS - Recommender Systems Experts.Don't forget to…
#24: Video Recommendations at Facebook with Amey Dharwadker

October 1, 2024 · 1 hr 21 min

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 recommendations. Amey, who leads the Video Recommendations Quality Ranking…
#23: Generative Models for Recommender Systems with Yashar Deldjoo

August 16, 2024 · 1 hr 55 min

In episode 23 of Recsperts, we welcome Yashar Deldjoo, Assistant Professor at the Polytechnic University of Bari, Italy. Yashar's research on recommender systems includes multimodal approaches, multimedia recommender systems as well as…

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About the show

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.