The MuRS workshop is back! We’re excited to announce that the 3rd Music Recommender Systems Workshop (MuRS) will be part of the @ACMRecSys 2025 conference! Stay tuned for updates:. P.S. This is our last tweet! Follow us on LinkedIn, BlueSky and Mastodon.

RT @christine_bauer: If you’re at #RecSys2024, don’t miss our poster today (with @andrebola_ and Michael Ekstrand) on music artist fairne….

Thanks to all the presenters and the audience who yesterday have participated at the 2nd edition of the Music Recommender Systems. We hope you had a great time (we did!). The proceedings of the workshop are online: Enjoy the rest of the @ACMRecSys week!.

RT @amirrezam95: Excited to kick off the @ACMRecSys with @MuRS_WS workshop! Looking forward to insightful discussions and new ideas. #recsy….

Second Floor - Room B @ACMRecSys !.

RT @ucpress: How Does Music Shape Imagination? @kj_jakubowski writes in @PsychToday about her research pub'd in the journal Music Perceptio….

RT @ACMRecSys: Hey, we got a minor update. Just a little something. Ok, here it goes: THE PROCEEDINGS OF THE 18TH ACM CONFERENCE ON RECOMM….

This panel aims to address the implications of music RS on artistic expression, copyright, and the dynamics of the music sector. We aim to highlight the opportunities and challenges presented by music RS, fostering a deeper understanding of their impact on the music sector.

-1 week to the 2nd Workshop on Music Recommender Systems, we are almost there! Don't miss the panel discussion on "Exploring the Impact of Recommender Systems on the Music Sector", with Maria Iglesias, Yu Liang and Bruno Sguerra (@bmsguerra) .

RT @bmsguerra: I'm happy to share that I've been invited to join a panel of experts at the @MuRS_WS workshop, co-located with @ACMRecSys la….

Baym's research work focuses on interpersonal relationships and new technologies. She is considered a pioneer in the field of internet research, as she wrote some of the first articles about online communities back in the early 1990s.

-2 weeks to the 2nd Workshop on Music Recommender Systems, where we are glad to have Dr. Nancy Baym as keynote speaker, author of the book "Playing to the Crowd: Musicians, Audiences, and the Intimate Work of Connection" (NYU Press). You can find it OA:.

8) "Talking to your Recs: Multimodal Embeddings for Recommendation and Retrieval" Sergio Oramas, Andrés Ferraro, Álvaro Sarasúa and Fabien Gouyon (@sergiooramas @andrebola_ @alsarasua @fgouyon).

7) "End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap" Lorenzo Porcaro, Emilia Gómez and Tiziana Catarci (@porcaro_lorenzo @emiliagogu @catarci1).

6) "Navigating Discoverability in the Digital Era: a Theoretical Framework" Rebecca Salganik, Valdy Wiratama, Heritiana Ranaivoson and Adelaide Afilipoaie (@Rebeccasalganik @hranaivoson).

5) "Hard Negative Sampling for Music Recommendation: Real-World Impacts on Accuracy and Diversity" M. Jeffrey Mei, Oliver Bembom and Andreas Ehmann.

4) "Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks" Florian Grötschla, Luca Strässle, Luca Lanzendörfer and Roger Wattenhofer (@lucalanze).

3) "Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity" Ismaël Tankeu and Geoffray Bonnin (@Bobobonnin).

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).

1) "LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation" Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang and Tat-Seng Chua (@Rebeccasalganik @jiank_uiuc).