Recsperts - Recommender Systems Experts
This podcast interviews experts in recommender systems from industry and academia. We talk about their background as well as how and why they joined this field. We discuss the basics, challenges as well as current approaches and technologies in personalizing online content for users. The show includes people from all sorts of technology sectors, like music or video streaming, e-commerce, news, or social media, but also researchers from universities around the globe that dedicate themselves to recommender systems research. In each episode we have a different guest and go into depth about certain subtopics as well as the particular approaches and achievements of our guest. Expect a bi-weekly episode on this show.
- Website
- http://www.recsperts.com/
- Description
- This podcast interviews experts in recommender systems from industry and academia. We talk about their background as well as how and why they joined this field. We discuss the basics, challenges as well as current approaches and technologies in personalizing online content for users. The show includes people from all sorts of technology sectors, like music or video streaming, e-commerce, news, or social media, but also researchers from universities around the globe that dedicate themselves to recommender systems research. In each episode we have a different guest and go into depth about certain subtopics as well as the particular approaches and achievements of our guest. Expect a bi-weekly episode on this show.
- Language
- 🇬🇧 English
- last modified
- 2024-11-11 11:44
- last episode published
- 2024-10-12 14:22
- publication frequency
- 44.61 days
- Contributors
- Marcel Kurovski
- Author
- Marcel Kurovski
- Owner
- Explicit
- false
- Number of Episodes
- 26
- Rss-Feeds
- Detail page
- Categories
- Technology Mathematics Science & Medicine
Recommendations
Episodes
| Date | Title & Description | Contributors |
|---|---|---|
| 2024-10-12 | In episode 25, we talk about the upcoming ACM Conference on Recommender Systems 2024 (RecSys) and welcome a former guest to geek about the conference. Enjoy this enriching episode of RECSPERTS - Recommender Systems Experts.Don't forget to follow the po... |
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| 2024-10-01 | In episode 24 of Recsperts, I sit down with Amey Dharwadker, Machine Learning Engineering Manager at Facebook, to dive into the complexities of large-scale video recommendations. Amey, who leads the Video Recommendations Quality Ranking team at Faceboo... |
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| 2024-08-16 |
#23: Generative Models for Recommender Systems with Yashar Deldjoo In episode 23 of Recsperts, we welcome Yashar Deldjoo, Assistant Professor at the Polytechnic University of Bari, Italy. Yashar's research on recommender systems includes multimodal approaches, multimedia recommender systems as well as trustworthiness ... |
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| 2024-06-06 |
#22: Pinterest Homefeed and Ads Ranking with Prabhat Agarwal and Aayush Mudgal In episode 22 of Recsperts, we welcome Prabhat Agarwal, Senior ML Engineer, and Aayush Mudgal, Staff ML Engineer, both from Pinterest, to the show. Prabhat works on recommendations and search systems at Pinterest, leading representation learning effort... |
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| 2024-04-08 |
#21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen In episode 21 of Recsperts, we welcome Martijn Willemsen, Associate Professor at the Jheronimus Academy of Data Science and Eindhoven University of Technology. Martijn's researches on interactive recommender systems which includes aspects of decision p... |
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| 2023-11-16 |
#20: Practical Bandits and Travel Recommendations with Bram van den Akker In episode 20 of Recsperts, we welcome Bram van den Akker, Senior Machine Learning Scientist at Booking.com. Bram's work focuses on bandit algorithms and counterfactual learning. He was one of the creators of the Practical Bandits tutorial at the World... |
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| 2023-10-12 |
#19: Popularity Bias in Recommender Systems with Himan Abdollahpouri In episode 19 of Recsperts, we welcome Himan Abdollahpouri who is an Applied Research Scientist for Personalization & Machine Learning at Spotify. We discuss the role of popularity bias in recommender systems which was the dissertation topic of Him... |
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| 2023-08-17 |
#18: Recommender Systems for Children and non-traditional Populations In episode 18 of Recsperts, we hear from Professor Sole Pera from Delft University of Technology. We discuss the use of recommender systems for non-traditional populations, with children in particular. Sole shares the specifics, surprises, and subtleti... |
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| 2023-06-15 |
#17: Microsoft Recommenders and LLM-based RecSys with Miguel Fierro In episode 17 of Recsperts, we meet Miguel Fierro who is a Principal Data Science Manager at Microsoft and holds a PhD in robotics. We talk about the Microsoft recommenders repository with over 15k stars on GitHub and discuss the impact of LLMs on RecS... |
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| 2023-05-17 |
#16: Fairness in Recommender Systems with Michael D. Ekstrand In episode 16 of Recsperts, we hear from Michael D. Ekstrand, Associate Professor at Boise State University, about fairness in recommender systems. We discuss why fairness matters and provide an overview of the multidimensional fairness-aware RecSys la... |
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