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All Episodes

Recsperts - Recommender Systems Experts — 32 episodes

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Title
1

#31: Psychology-Aware Recommender Systems with Elisabeth Lex

2

#30: Serendipity for Recommender Systems with Annelien Smets

3

#29: Transformers for Recommender Systems with Craig Macdonald and Sasha Petrov

4

#28: Multistakeholder Recommender Systems with Robin Burke

5

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

6

#26: Diversity in Recommender Systems with Sanne Vrijenhoek

7

#25: RecSys 2024 Special

8

#24: Video Recommendations at Facebook with Amey Dharwadker

9

#23: Generative Models for Recommender Systems with Yashar Deldjoo

10

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

11

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

12

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

13

#19: Popularity Bias in Recommender Systems with Himan Abdollahpouri

14

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

15

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

16

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

17

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

18

#14: User Modeling and Superlinked with Daniel Svonava

19

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

20

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

21

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

22

#10: Recommender Systems in Human Resources with David Graus

23

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

24

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

25

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

26

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

27

#5: Fashion Recommendations with Zeno Gantner

28

#4: Adversarial Machine Learning for Recommenders with Felice Merra

29

#3: Bandits and Simulators for Recommenders with Olivier Jeunen

30

#2: Deep Learning based Recommender Systems with Even Oldridge

31

#1: Practical Recommender Systems with Kim Falk

32

#0: Launching Recsperts - the Recommender Systems Experts Podcast