Data Scientist at @Deezer - Music Recommendation From @ENSAEParisTech • @UPMC @Sorbonne_Univ_ - @master_dac
Lorient, France
Joined September 2015
- Tweets15
- Following196
- Followers91
- Likes94
Léa Briand retweeted
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 – at Rotterdam, The Netherlands
Léa Briand retweeted
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)
Léa Briand retweeted
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 – at Glasgow, Scotland
Léa Briand retweeted
We are excited to announce the 2nd edition of MuRS: Music Recommender Systems workshop at
@ACMRecSys
more news coming soon!
w/
@porcaro_lorenzo
@peter_knees
@christine_bauer
Léa Briand retweeted
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: arxiv.org/pdf/2401.02827.pdf
Slides: github.com/deezer/new-releas…
Léa Briand retweeted
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
Léa Briand retweeted
#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 @ENIEcoleInforma @FTBrestPlus @tech_quimper_co @CCI_Quimper
Léa Briand retweeted
[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 ➡️ femmes-numerique.bzh #Emploi #FNQ21 #Data – at Rennes, France
Léa Briand retweeted
Want your music tailored to how you feel?
Introducing our latest feature #FlowMoods 🤩
Available worldwide on iOS and Android.
Léa Briand retweeted
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: deezer.io/recommending-music…
Léa Briand retweeted
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: arxiv.org/pdf/2106.03819.pdf
Code and Data: github.com/deezer/semi_perso…
@kdd_news @DeezerDevs @researchdeezer
Léa Briand retweeted
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