ABOUT THIS PODCAST 🔗
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.
Expect a brand-new interview each month and follow Recsperts on your favorite podcast player.
Hosts:
Update frequency:
every 67 days
Average audio length:
85 minutes
Guest interviews
English
United States
35 episodes
since Sept. 23, 2021
episodic
AUDIENCE OF THIS PODCAST 🔗
~55.06% of listeners are from United States.
🇺🇸
US
55.06%
🇬🇧
GB
22.56%
🇮🇪
IE
15.29%
🇩🇪
DE
2.29%
🇸🇪
SE
2.10%
🇺🇦
UA
0.38%
🇧🇷
BR
0.38%
🇸🇬
SG
0.38%
🇷🇴
RO
0.19%
🇳🇱
NL
0.19%
🇮🇳
IN
0.19%
🇨🇦
CA
0.19%
🇩🇿
DZ
0.19%
🇪🇸
ES
0.19%
🇯🇵
JP
0.19%
🇫🇷
FR
0.19%
Others
0.04%
* Data source: directly measured on Listen Notes. real-time
LATEST EPISODE 🔗
In episode 34 of Recsperts, I'm joined by Raghav Saboo, Staff Machine Learning Engineer at DoorDash and Tech Lead for Personalization and Search for New Verticals — groceries, convenience, retail, alcohol, pet supplies and more, beyond the original restaurant vertical. We discuss the particular cha…
SEARCH PAST EPISODES
Search past episodes of Recsperts - Recommender Systems Experts.
PREVIOUS EPISODES 🔗
In episode 33 of Recsperts, I speak with Joseph A. Konstan, Distinguished McKnight University Professor and Distinguished University Teaching Professor at the University of Minnesota, co-founder of GroupLens, and the very first General Chair of the ACM RecSys conference back in 2007. This year he r…
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 retail delivery. Together, we discuss the specifics o…
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 human–computer interaction. Together, we explore ho…
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 framework for understanding serendipity through inten…
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 recommender systems and the growing role of transformer…
In episode 28 of Recsperts, I sit down with Robin Burke, professor of information science at the University of Colorado Boulder and a leading expert with over 30 years of experience in recommender systems. Together, we explore multistakeholder recommender systems, fairness, transparency, and the ro…
In episode 27 of Recsperts, we meet Alessandro Piscopo, Lead Data Scientist in Personalization and Search, and Duncan Walker, Principal Data Scientist in the iPlayer Recommendations Team, both from the BBC. We discuss how the BBC personalizes recommendations across different offerings like news or …
In episode 26 of Recsperts, I speak with Sanne Vrijenhoek, a PhD candidate at the University of Amsterdam’s Institute for Information Law and the AI, Media & Democracy Lab. Sanne’s research explores diversity in recommender systems, particularly in the news domain, and its connection to democra…
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 podcast and please leave a review
(00:00) - In…
Disclaimer: The podcast and artwork embedded on this page are from Marcel Kurovski, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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