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