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@ACMRecSys
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 (@lea_ibrd@xbenji @tbouabca @gsalhagalvan)
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
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@researchdeezer@lea_ibrd@xbenji
This week, Glasgow plays host to the #ECIR2024 conference! 🏴
@lea_ibrd 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: https://t.co/A4FIXYlz16
Slides: https://t.co/z8PIXiE9vI
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 @lea_ibrd and the entire @Deezer RecSys team! 👏 The paper will be online soon.
MLIA is offering several master internships for Spring 2022!
Complete list: https://t.co/S0NWaiCoNv
(1/n) "AI for Science: Physics Based Deep Learning for Modeling Complex Dynamics. Application to Climate"
Supervised by Patrick Gallinari
More info: https://t.co/v1ucjc5JEv
[PROGRAMME 📢] On démarre la semaine avec l’annonce d’un bel atelier #métier 👉 @lea_ibrd interviendra en ligne pour vous parler de son métier #dataScientist chez @DeezerFR Inscriptions ➡️ https://t.co/x0IokPISzV #Emploi#FNQ21#Data
How to make relevant, personalized music recommendations to new users when you know (almost) nothing about them? That's the topic @lea_ibrd and fellow Data Scientists presented at @kdd_news last month. Here is a simplified version of their research paper: https://t.co/DjrY3m11YW
Our team is attending #KDD2021 this week!
Léa Briand @lea_ibrd will present our recent work, tackling the user cold start problem on the music streaming app @Deezer.
Preprint: https://t.co/nF0SgzAG8n
Code and Data: https://t.co/tyhBxqpmzF
@kdd_news@DeezerDevs@researchdeezer
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!
@lea_ibrd@researchdeezer@kdd_news