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More good news! Our paper: "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" with L. Briand, W. Bendada, M. Morlon and V.A. Tran has been accepted at #KDD2021! 🍾 Preprint, code and data available soon! Léa Briand Deezer Research SIGKDD 2025

Our team is attending #KDD2021 this week! Léa Briand Léa Briand will present our recent work, tackling the user cold start problem on the music streaming app Deezer. Preprint: arxiv.org/pdf/2106.03819… Code and Data: github.com/deezer/semi_pe… SIGKDD 2025 DeezerDevs Deezer Research

How to make relevant, personalized music recommendations to new users when you know (almost) nothing about them? That's the topic Léa Briand and fellow Data Scientists presented at SIGKDD 2025 last month. Here is a simplified version of their research paper: deezer.io/recommending-m…

Want your music tailored to how you feel? Introducing our latest feature #FlowMoods 🤩 Available worldwide on iOS and Android.

#FNQ 4ème édition ➡️ Le programme est disponible et les inscriptions sont ouvertes ! Rdv directement sur notre site femmes-numerique.bzh pour retrouver toutes les infos ! #Quimper #WomenInTech ENI Ecole Informatique 💻🎓 French Tech Brest Bretagne Ouest Technopole Quimper CCIMBO Quimper

[PROGRAMME 📢] On démarre la semaine avec l’annonce d’un bel atelier #métier 👉 Léa Briand interviendra en ligne pour vous parler de son métier #dataScientist chez Deezer France Inscriptions ➡️ femmes-numerique.bzh #Emploi #FNQ21 #Data

MLIA is offering several master internships for Spring 2022! Complete list: buff.ly/3y5KcBk (1/n) "AI for Science: Physics Based Deep Learning for Modeling Complex Dynamics. Application to Climate" Supervised by Patrick Gallinari More info: buff.ly/33brfC5

Exciting news to end the year... 🤩 Our paper on improving the discoverability of new releases on Deezer is set for an oral presentation at the Industry Day of #ECIR2024 in Glasgow! Kudos to Léa Briand and the entire Deezer RecSys team! 👏 The paper will be online soon.

This week, Glasgow plays host to the #ECIR2024 conference! 🏴󠁧󠁢󠁳󠁣󠁴󠁿 Léa Briand from our team is set to present our initiatives to improve the exposure and recommendation of new music releases on Deezer! 🎶 Check it out: Paper: arxiv.org/pdf/2401.02827… Slides: github.com/deezer/new-rel…

I'm thrilled and humbled to share that our work on new releases has just been awarded the "Best Industry Track Paper Award" at #ECIR2024! Congratulations to all members of our music recommendation team at Deezer! 👏 ECIR2024 Deezer Research Léa Briand Benjamin Chapus

We are excited to announce the 2nd edition of MuRS: Music Recommender Systems workshop at ACM RecSys more news coming soon! w/ Lorenzo Porcaro Peter Knees Christine Bauer

All done! It's a wrap from #ecir2024. We've had a brilliant 5 days with loads of great talks, discussions, and social events. Thanks to everyone that made #ecir2024 such a great success! We hope you all enjoyed Glasgow. Looking forward to seeing you again in Lucca for #ecir2025

2) "Let’s Get It Started (Again!): Fostering the Discoverability of New Releases on Deezer" Léa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, François Rigaud, Benjamin Chapus, Thomas Bouabça and Guillaume Salha-Galvan (Léa Briand Benjamin Chapus @tbouabca Guillaume Salha-Galvan)

MuRS Workshop @ RecSys2025 started with the presentations by Rsalganik and Léa Briand 🚀🔊🔊

Starting the day going down memory lane: from my 1st #WomenInRecSys event (a tiny group) to today's 10th anniversary! Happy to coorganize this ed., share the day w/ many of the co-organizers of these 10 editions & see the growth of this supportive group #RecSys2024 ACM RecSys