Exciting news 🥳🍾 I am honored to have been shortlisted, for the third time in my career, among the best paper candidates at the @ACMRecSys conference! After nominations in 2020 and 2021, this time it’s at #RecSys2024 with Viet-Anh Tran, @bmsguerra, and @romainhennequi1! [1/3]

A nice way to start the week! Our work: "Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation" led by Viet Anh Tran from @Deezer, has been accepted as a Full Paper at #RecSys2024! 🥳 We will share a preprint soon along with code and data.

STONE : Self-supervised Tonality Estimator by Yuexuan Kong, Vincent Lostanlen Gabriel Meseguer Brocal Stella Wong, Mathieu Lagrange and Romain Hennequin https://t.co/23YpiUEX88 STONE is the first self-supervised tonality estimator using the ChromaNet architecture.

From Real to Cloned Singer Identification by Dorian Desblancs, Gabriel Meseguer Brocal, Romain Hennequin and Manuel Moussallam: https://t.co/RrU4V3eBOp where we investigate ways to identify artist's cloned voices in mixtures.

Paper news! Two submissions by #deezer team members have been accepted at @ISMIRConf :

Our Head of Research Romain Hennequin will be at @MusicTechBE to talk about #AImusic and the latests work from the team on the topic.

The deadline to submit your research to the NLP4MusA #ISMIR2024 companion workshop has been extended to July 12th: https://t.co/TOSEz9XT2r . Both academic and industry submissions at the crossroads of #NLP and #MIR are welcomed

We will present vMF-exp for scalable exploration in RL problems with large action sets and hyperspherical embeddings, next month at the @arlet_workshop of #ICML2024! Paper online soon: a math-heavy work with a real-world deployment on @Deezer for music recommendation! 🎶 (1/2)

New post is out! 🇰🇷 ICASSP 2024, eleven picks. https://t.co/0BJZzfjU1J

We are at #ICASSP2024 to present a paper by @Gabolsgabs , Dorian Desblancs and Romain Hennequin on Self-supervized methods for Music Tagging

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

We are represented at #CHIIR24 with Lilian Marey presenting his work on modeling music consumption patterns https://t.co/0S6kG6csMx done at #Deezer with @bmsguerra and Manuel Moussallam

News from our #NLP team! @gaspmichel PhD student in our team present his last work done with @evpure, @romainhennequi1 and @ccerisara at the LaTeCH-CLfL 2024 SIGHUM Workshop in Malta. Preprint available here: https://t.co/me7eWEEzh2 #NLP

Congratulations to Kristina Matrosova, Manuel Moussallam, Thomas Louail, and Olivier Bodini for their paper "Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences" published in @TismirJ! 👏 Paper link: https://t.co/xQgLwmpkjX

NEW: Research paper by Kristina Matrosova @MMoussallam @ThomasLouail and Olivier Bodini: "Depict or Discern? Fingerprinting Musical Taste from Explicit Preferences" shows with a dataset that the 2 opposite views about taste lead to conflicting solutions https://t.co/XHsPl98bJT

Join us tomorrow for this exciting #RecSys MeetUp, co-organized by @Deezer! We're gathering at @leboncoin's Paris office with speakers from @dailymotion, @CarrefourFrance, and @leboncointech. More details here: https://t.co/YUnkRn7Piv @MeetupFR @recsysfr @DeezerDevs @grillatg

More good news! Our paper "An Experimental Comparison of Multiview Self-supervised Methods For Music Tagging" has recently been accepted at #ICASSP2024.🎶🇰🇷 Kudos to @Gabolsgabs, Dorian Desblancs, and @romainhennequi1!

Congratulations! 👏This #ECIR2024 paper is now available online: https://t.co/Hjo4QP9wGZ @ecir2024 @lea_ibrd @gsalhagalvan

3️⃣ Research intern - AI Lyrics Detection 🔗 https://t.co/MohUdFbrsB 4️⃣ Research intern - Curiosity Modeling 🔗 https://t.co/dTQsCTbK4l Join us! 🎶 [2/2]