This podcast interviews experts in recommender systems from industry and academia. We talk about their background as well as how and why they joined this field. We discuss the basics, challenges as well as current approaches and technologies in personalizing online content for users. The show includes people from all sorts of technology sectors, like music or video streaming, e-commerce, news, or social media, but also researchers from universities around the globe that dedicate themselves to recommender systems research. In each episode we have a different guest and go into depth about certain subtopics as well as the particular approaches and achievements of our guest. Expect a bi-weekly episode on this show.
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2024-04-08 |
#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's researches on interactive recommender systems which includes aspects of decision p... |
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2023-11-16 |
#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 counterfactual learning. He was one of the creators of the Practical Bandits tutorial at the World... |
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2023-10-12 |
#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 of popularity bias in recommender systems which was the dissertation topic of Him... |
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2023-08-17 |
#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 populations, with children in particular. Sole shares the specifics, surprises, and subtleti... |
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2023-06-15 |
#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 recommenders repository with over 15k stars on GitHub and discuss the impact of LLMs on RecS... |
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2023-05-17 |
#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 fairness matters and provide an overview of the multidimensional fairness-aware RecSys la... |
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2023-04-27 |
#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 broadcaster of audio-on-demand content, where he is part of pub. Public Value Technolo... |
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2023-03-15 | 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 senior software engineer and tech lead at YouTube working on ad performance prediction ... |
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2023-02-15 |
#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 personalized homepage. We learn more about the evolution of the Netflix recommender system ... |
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2023-01-18 |
#12: From User Intent to Multi-Stakeholder Recommenders and Creator Economy with Rishabh Mehrotra In this episode of Recsperts we talk to Rishabh Mehrotra, the Director of Machine Learning at ShareChat, about users and creators in multi-stakeholder recommender systems. We learn more about users intents and needs, which brings us to the important ma... |
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