Recsperts - Recommender Systems Experts
de Marcel Kurovski
Dernier épisode
#34: From Consumer Memory to Semantic IDs: Generative RecSys for…
#34: From Consumer Memory to Semantic IDs: Generative RecSys for…
À propos de ce podcast
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.
Épisodes
Les 20 épisodes les plus récents sur 35
- #34: From Consumer Memory to Semantic IDs: Generative RecSys for Quick Commerce with Raghav Saboo · 1 h 43 min · Épisode 35In 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…
- #33: Useful Recommender Systems and 20 Years of RecSys with Joseph Konstan · 1 h 24 min · Épisode 34In episode 33 of Recsperts, I speak with Joseph A. Konstan, Distinguished McKnight University Professor and Distinguished University Teaching Professor at the University of…
- #32: RecSys in the Delivery Industry at Wolt with Sasha Fedintsev · 1 h 48 min · Épisode 33In 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…
- #31: Psychology-Aware Recommender Systems with Elisabeth Lex · 1 h 37 min · Épisode 32In 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…
- #30: Serendipity for Recommender Systems with Annelien Smets · 1 h 32 min · Épisode 31In 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…
- #29: Transformers for Recommender Systems with Craig Macdonald and Sasha Petrov · 1 h 37 min · Épisode 30In 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…
- #28: Multistakeholder Recommender Systems with Robin Burke · 1 h 35 min · Épisode 29In 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…
- #27: Recommender Systems at the BBC with Alessandro Piscopo and Duncan Walker · 1 h 27 min · Épisode 28In episode 27 of Recsperts, we meet Alessandro Piscopo, Lead Data Scientist in Personalization and Search, and Duncan Walker, Principal Data Scientist in the iPlayer…
- #26: Diversity in Recommender Systems with Sanne Vrijenhoek · 1 h 35 min · Épisode 27In 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…
- #25: RecSys 2024 Special · 40 min · Épisode 26In 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…
- #24: Video Recommendations at Facebook with Amey Dharwadker · 1 h 21 min · Épisode 25In 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…
- #23: Generative Models for Recommender Systems with Yashar Deldjoo · 1 h 54 min · Épisode 24In episode 23 of Recsperts, we welcome Yashar Deldjoo, Assistant Professor at the Polytechnic University of Bari, Italy. Yashar's research on recommender systems includes…
- #22: Pinterest Homefeed and Ads Ranking with Prabhat Agarwal and Aayush Mudgal · 1 h 24 min · Épisode 23In 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…
- #21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen · 1 h 35 min · Épisode 22In episode 21 of Recsperts, we welcome Martijn Willemsen, Associate Professor at the Jheronimus Academy of Data Science and Eindhoven University of Technology. Martijn's…
- #20: Practical Bandits and Travel Recommendations with Bram van den Akker · 1 h 45 min · Épisode 21In 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 counterfactual learning…
- #19: Popularity Bias in Recommender Systems with Himan Abdollahpouri · 1 h 41 min · Épisode 20In episode 19 of Recsperts, we welcome Himan Abdollahpouri who is an Applied Research Scientist for Personalization & Machine Learning at Spotify. We discuss the role of…
- #18: Recommender Systems for Children and non-traditional Populations · 1 h 39 min · Épisode 19In 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 populations, with…
- #17: Microsoft Recommenders and LLM-based RecSys with Miguel Fierro · 1 h 2 min · Épisode 18In 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 recommenders…
- #16: Fairness in Recommender Systems with Michael D. Ekstrand · 1 h 42 min · Épisode 17In episode 16 of Recsperts, we hear from Michael D. Ekstrand, Associate Professor at Boise State University, about fairness in recommender systems. We discuss why fairness…
- #15: Podcast Recommendations in the ARD Audiothek with Mirza Klimenta · 1 h 19 min · Épisode 16In 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 broadcaster…
