Léa Briand

Data Scientist at @Deezer - Music Recommendation
From @ENSAEParisTech • @UPMC @Sorbonne_Univ_ - @master_dac

[Sole Pera @DrCh0le]

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

[andres ferraro @andrebola_]

@MuRS_WS started with the presentations by @Rebeccasalganik and @lea_ibrd 🚀🔊🔊

[MuRS Workshop @ RecSys2025 @MuRS_WS]

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)

[ECIR2024 @ecir2024]

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

[andres ferraro @andrebola_]

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

[Guillaume Salha-Galvan @gsalhagalvan]

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

[Guillaume Salha-Galvan @gsalhagalvan]

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

[Guillaume Salha-Galvan @gsalhagalvan]

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 @mlia_isir]

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

[Femmes & Numérique #Quimper @FemNumQuimper]

#FNQ 4ème édition ➡️ Le programme est disponible et les inscriptions sont ouvertes ! Rdv directement sur notre site https://t.co/x0IokPISzV pour retrouver toutes les infos ! #Quimper #WomenInTech @ENIEcoleInforma @FTBrestPlus @tech_quimper_co @CCI_Quimper

[Femmes & Numérique #Quimper @FemNumQuimper]

[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

[Deezer @Deezer]

Want your music tailored to how you feel?

Introducing our latest feature #FlowMoods 🤩

Available worldwide on iOS and Android.

[DeezerDevs @DeezerDevs]

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

[Guillaume Salha-Galvan @gsalhagalvan]

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

[Guillaume Salha-Galvan @gsalhagalvan]

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