29 Episodo

  1. #28: Multistakeholder Recommender Systems with Robin Burke

    Publicado: 15/4/2025

  2. #27: Recommender Systems at the BBC with Alessandro Piscopo and Duncan Walker

    Publicado: 19/3/2025

  3. #26: Diversity in Recommender Systems with Sanne Vrijenhoek

    Publicado: 19/2/2025

  4. #25: RecSys 2024 Special

    Publicado: 12/10/2024

  5. #24: Video Recommendations at Facebook with Amey Dharwadker

    Publicado: 1/10/2024

  6. #23: Generative Models for Recommender Systems with Yashar Deldjoo

    Publicado: 16/8/2024

  7. #22: Pinterest Homefeed and Ads Ranking with Prabhat Agarwal and Aayush Mudgal

    Publicado: 6/6/2024

  8. #21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen

    Publicado: 8/4/2024

  9. #20: Practical Bandits and Travel Recommendations with Bram van den Akker

    Publicado: 16/11/2023

  10. #19: Popularity Bias in Recommender Systems with Himan Abdollahpouri

    Publicado: 12/10/2023

  11. #18: Recommender Systems for Children and non-traditional Populations

    Publicado: 17/8/2023

  12. #17: Microsoft Recommenders and LLM-based RecSys with Miguel Fierro

    Publicado: 15/6/2023

  13. #16: Fairness in Recommender Systems with Michael D. Ekstrand

    Publicado: 17/5/2023

  14. #15: Podcast Recommendations in the ARD Audiothek with Mirza Klimenta

    Publicado: 27/4/2023

  15. #14: User Modeling and Superlinked with Daniel Svonava

    Publicado: 15/3/2023

  16. #13: The Netflix Recommender System and Beyond with Justin Basilico

    Publicado: 15/2/2023

  17. #12: From User Intent to Multi-Stakeholder Recommenders and Creator Economy with Rishabh Mehrotra

    Publicado: 18/1/2023

  18. #11: Personalized Advertising, Economic and Generative Recommenders with Flavian Vasile

    Publicado: 15/12/2022

  19. #10: Recommender Systems in Human Resources with David Graus

    Publicado: 16/11/2022

  20. #9: RecPack and Modularized Personalization by Froomle with Lien Michiels and Robin Verachtert

    Publicado: 15/9/2022

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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.

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