Recommended Episode
#24: Video Recommendations at Facebook with Amey Dharwadker
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 recom...
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#34: From Consumer Memory to Semantic IDs: Generative RecSys for Quick Commerce with Raghav Saboo
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 — gr...
#33: Useful Recommender Systems and 20 Years of RecSys with Joseph Konstan
In episode 33 of Recsperts, I speak with Joseph A. Konstan, Distinguished McKnight University Professor and Distinguished University Teaching Professor at the Universi...
#32: RecSys in the Delivery Industry at Wolt with Sasha Fedintsev
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 t...
#31: Psychology-Aware Recommender Systems with Elisabeth Lex
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 ...
#30: Serendipity for Recommender Systems with Annelien Smets
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 p...