Recsperts - Recommender Systems Experts
En podkast av Marcel Kurovski
29 Episoder
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#28: Multistakeholder Recommender Systems with Robin Burke
Publisert: 15.4.2025 -
#27: Recommender Systems at the BBC with Alessandro Piscopo and Duncan Walker
Publisert: 19.3.2025 -
#26: Diversity in Recommender Systems with Sanne Vrijenhoek
Publisert: 19.2.2025 -
#25: RecSys 2024 Special
Publisert: 12.10.2024 -
#24: Video Recommendations at Facebook with Amey Dharwadker
Publisert: 1.10.2024 -
#23: Generative Models for Recommender Systems with Yashar Deldjoo
Publisert: 16.8.2024 -
#22: Pinterest Homefeed and Ads Ranking with Prabhat Agarwal and Aayush Mudgal
Publisert: 6.6.2024 -
#21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen
Publisert: 8.4.2024 -
#20: Practical Bandits and Travel Recommendations with Bram van den Akker
Publisert: 16.11.2023 -
#19: Popularity Bias in Recommender Systems with Himan Abdollahpouri
Publisert: 12.10.2023 -
#18: Recommender Systems for Children and non-traditional Populations
Publisert: 17.8.2023 -
#17: Microsoft Recommenders and LLM-based RecSys with Miguel Fierro
Publisert: 15.6.2023 -
#16: Fairness in Recommender Systems with Michael D. Ekstrand
Publisert: 17.5.2023 -
#15: Podcast Recommendations in the ARD Audiothek with Mirza Klimenta
Publisert: 27.4.2023 -
#14: User Modeling and Superlinked with Daniel Svonava
Publisert: 15.3.2023 -
#13: The Netflix Recommender System and Beyond with Justin Basilico
Publisert: 15.2.2023 -
#12: From User Intent to Multi-Stakeholder Recommenders and Creator Economy with Rishabh Mehrotra
Publisert: 18.1.2023 -
#11: Personalized Advertising, Economic and Generative Recommenders with Flavian Vasile
Publisert: 15.12.2022 -
#10: Recommender Systems in Human Resources with David Graus
Publisert: 16.11.2022 -
#9: RecPack and Modularized Personalization by Froomle with Lien Michiels and Robin Verachtert
Publisert: 15.9.2022
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.
