Recsperts - Recommender Systems Experts

A podcast by Marcel Kurovski

Categories:

Technology

29 Episodes

  1. #8: Music Recommender Systems, Fairness and Evaluation with Christine Bauer

    Published: 8/15/2022

  2. #7: Behavioral Testing with RecList for Recommenders with Jacopo Tagliabue

    Published: 7/7/2022

  3. #6: Purpose-Aware Privacy-Preserving Recommendations with Manel Slokom

    Published: 5/25/2022

  4. #5: Fashion Recommendations with Zeno Gantner

    Published: 5/3/2022

  5. #4: Adversarial Machine Learning for Recommenders with Felice Merra

    Published: 2/23/2022

  6. #3: Bandits and Simulators for Recommenders with Olivier Jeunen

    Published: 1/3/2022

  7. #2: Deep Learning based Recommender Systems with Even Oldridge

    Published: 10/31/2021

  8. #1: Practical Recommender Systems with Kim Falk

    Published: 10/8/2021

  9. #0: Launching Recsperts - the Recommender Systems Experts Podcast

    Published: 9/23/2021

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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.