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Recsperts - Recommender Systems Experts

Marcel Kurovski
Recommender Systems
Diversity
Recommendation Systems
Personalization
News Recommendation
Public Service Values
User Experience
Data Science
Democratic Theory
Interdisciplinary Research
Serendipity
Large Language Models
Recommender Systems Conference
Iplayer
BBC Sounds
Filter Bubbles
Multimodal Recommendations
Video Recommendations
Bari
Collaborative Filtering

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 an... more

PublishesInfrequentlyEpisodes33Founded5 years ago
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ScienceTechnologyMathematics

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Artwork for Recsperts

Latest Episodes

In episode 32 of Recsperts, I’m joined by my colleague Sasha Fedintsev, Staff Applied Scientist at Wolt (DoorDash), working across personalization and ads, to unpack the realities of building large-scale recommender systems in food, grocery, and reta... more

In episode 31 of Recsperts, I sit down with Elisabeth Lex, Full Professor of Human-Computer Interfaces and Inclusive Technologies at Graz University of Technology and a leading researcher at the intersection of recommender systems, psychology, and hu... more

In episode 30 of Recsperts, I speak with Annelien Smets, Professor at Vrije Universiteit Brussel and Senior Researcher at imec-SMIT, about the value, perception, and practical design of serendipity in recommender systems. Annelien introduces her fram... more

In episode 29 of Recsperts, I welcome Craig Macdonald, Professor of Information Retrieval at the University of Glasgow, and Aleksandr “Sasha” Petrov, PhD researcher and former applied scientist at Amazon. Together, we dive deep into sequential recomm... more

Key Facts

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Recent Guests

Professor Dr. Elisabeth Lex
Professor at Graz University of Technology specializing in recommender systems and psychology.
Graz University of Technology
Episode: #31: Psychology-Aware Recommender Systems with Elisabeth Lex
Professor Annelien Smets
Professor at Vrije Universiteit Brussel and senior researcher at IMAX MIT, focusing on personalization and recommender systems.
Vrije Universiteit Brussel; IMAX MIT
Episode: #30: Serendipity for Recommender Systems with Annelien Smets
Craig Macdonald
Full professor of information retrieval
University of Glasgow
Episode: #29: Transformers for Recommender Systems with Craig Macdonald and Sasha Petrov
Sasha Petrov
PhD student in recommender systems, former Amazon software engineer
University of Glasgow
Episode: #29: Transformers for Recommender Systems with Craig Macdonald and Sasha Petrov
Kim Falk
Expert in Recommender Systems and author of Practical Recommender Systems.
Episode: #25: RecSys 2024 Special
Amey Dharwadker
ML Engineering Manager at Facebook, leading the Video Recommendations Quality Ranking Team.
Facebook
Episode: #24: Video Recommendations at Facebook with Amey Dharwadker
Yashar Deldjoo
Assistant Professor at the Polytechnic University of Bari, researcher in Recommender Systems with a focus on generative models.
Polytechnic University of Bari
Episode: #23: Generative Models for Recommender Systems with Yashar Deldjoo
Martijn Willemsen
Associate Professor at Jheronimus Data Academy and Eindhoven University of Technology
Eindhoven University of Technology
Episode: #21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen

Host

Marcel Kurowski
Host of episodes featuring various experts in recommender systems, focusing on trends, challenges, and innovations in the field.

Reviews

5.0 out of 5 stars from 54 ratings
  • Great show

    Interesting topics and highly relevant but easy to follow for the industry experts.

    Apple Podcasts
    5
    jannetapani
    Finland5 days ago

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Talking Points

Recent interactions between the hosts and their guests.

#27: Recommender Systems at the BBC with Alessandro Piscopo and Duncan Walker
Q: What challenges do you face in providing personalized experience?
Duncan highlighted that understanding how audience behavior on different platforms can skew training data is a significant challenge.
#27: Recommender Systems at the BBC with Alessandro Piscopo and Duncan Walker
Q: What makes you excited about Recommendation Systems?
Alessandro expressed that working at the BBC allows him to connect users with relevant content that matches their limited time.
#21: User-Centric Evaluation and Interactive Recommender Systems with Martijn Willemsen
Q: Can you walk us through what this paper was about?
The paper discusses the notion that focusing solely on behaviorism and implicit feedback can be misleading and inadequate for improving user recommendations. It emphasizes the importance of understanding user goals and needs through direct feedback methods such as surveys and interviews.
#24: Video Recommendations at Facebook with Amey Dharwadker
Q: What should people expect at the VideoRecSys workshop?
It will be a full-day workshop featuring talks from industry professionals and researchers on trends and challenges in video recommendation systems.
#24: Video Recommendations at Facebook with Amey Dharwadker
Q: Can you introduce yourself to our users and tell them some more about yourself and your work?
I'm Amey, an ML Engineering Manager leading the Facebook Video Recommendations Quality Ranking Team, where we enhance the quality and integrity of video recommendations for billions of users.

Audience Metrics

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Frequently Asked Questions About Recsperts

What is Recsperts about and what kind of topics does it cover?

The content focuses on the intricate world of recommender systems, exploring the latest theories, methodologies, and practical applications. Episodes feature expert guests from both academia and the industry, discussing themes such as personalized content delivery, algorithmic transparency, and ethical implications in AI. Noteworthy discussions include the integration of large language models in recommendation systems and the challenges of maintaining user engagement across various platforms such as streaming services and e-commerce sites. The podcast is characterized by its depth, providing not just superficial insights but comprehensive explorations of diverse topics relevant to the evolving landscape of recommender systems.

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1. Decoder with Nilay Patel

How many episodes of Recsperts are there?

Recsperts launched 5 years ago and published 33 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Recsperts?

Recent guests on Recsperts include:

1. Professor Dr. Elisabeth Lex
2. Professor Annelien Smets
3. Craig Macdonald
4. Sasha Petrov
5. Kim Falk
6. Amey Dharwadker
7. Yashar Deldjoo
8. Martijn Willemsen

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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