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<span class="CEURVOLNR">Vol-3787</span> <br>
<span class="CEURURN">urn:nbn:de:0074-3787-1</span>
<p class="unobtrusive copyright" style="text-align: justify">Copyright &copy; 2024 for 
the individual papers by the papers' authors. 
Copyright &copy; <span class="CEURPUBYEAR">2024</span> for the volume
as a collection by its editors.
This volume and its papers are published under the
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<A HREF="https://creativecommons.org/licenses/by/4.0/">(<span class="CEURLIC">CC BY 4.0</span>)</A>.</p>
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<h1><a href="https://sites.google.com/view/murs-2024/"><span class="CEURVOLACRONYM">MuRS 2024</span></a><br>
<span class="CEURVOLTITLE">MuRS: 2nd Music Recommender Systems Workshop 2024</span></h1>
<br>

<h3>
<span class="CEURFULLTITLE">Proceedings of the 2nd Music Recommender Systems Workshop 2024</span><br>
co-located with the 18th ACM Conference on Recommender Systems (<span class="CEURCOLOCATED">RecSys 2024</span>)<br>
</h3>
<h3><span class="CEURLOCTIME">Bari, Italy, October 14, 2024</span>.</h3> 

<br>
<b> Edited by </b>
<p>
</p>
<h3>
   <a href="https://scholar.google.com/citations?user=WQglBowAAAAJ&hl=en"><span class="CEURVOLEDITOR">Andres Ferraro</span></a> *<br>
      <a href="https://lorenzoporcaro.me"><span class="CEURVOLEDITOR">Lorenzo Porcaro</span></a> **, ***<br>
            <a href="https://scholar.google.com/citations?hl=en&user=MtyaO2cAAAAJ"><span class="CEURVOLEDITOR">Peter Knees</span></a> ****<br>
            <a href="https://christinebauer.eu"><span class="CEURVOLEDITOR">Christine Bauer</span></a> ***** <br>
</h3>

* <a href="https://www.siriusxm.com">SiriusXM</a>,
  Oakland, CA, USA<br>
** <a href="https://www.uniroma1.it">Sapienza University of Rome</a>,
   Department of Computer, Control and Management Engineering, Rome, Italy<br>
*** <a href="https://joint-research-centre.ec.europa.eu">Joint Research Centre, European Commission</a>,
   Ispra, Italy <br>
**** <a href="https://www.tuwien.at">TU Wien</a>,
   Faculty of Informatics, Vienna, Austria <br>
***** <a href="https://www.plus.ac.at">Paris Lodron University Salzburg</a>,
   Department of Artificial Intelligence and Human Interfaces, Salzburg, Austria<br>

<hr>

<br><br><br>


<div class="CEURTOC">
<h2> Table of Contents </h2>

<ul>
<li id="preface">
<A href="preface.pdf">Preface</A><BR>
Summary: There were <span class="CEURSUBMITTEDPAPERS">12</span> papers submitted for peer-review to this workshop. Out of these, 
<span class="CEURACCEPTEDPAPERS">6</span> papers were accepted for this volume.
Furthermore, two out of two submitted previously published papers were accepted for presentation in this workshop. Out of these, one is included as an abstract in this volume.
</li>

<li id="paper1"><a href="paper1.pdf">
<span class="CEURTITLE">Towards Characterising Induced Emotions:
Exploiting Physiological Data and Investigating the
Effect of Music Familiarity</span></a>
<br>
<span class="CEURAUTHOR">Ismaël Tankeu</span>, 
<span class="CEURAUTHOR">Geoffray Bonnin</span>
</li>

<li id="paper2"><a href="paper2.pdf">
<span class="CEURTITLE">Towards Leveraging Contrastively Pretrained Neural
Audio Embeddings for Recommender Tasks</span></a>
<br>
<span class="CEURAUTHOR">Florian Grötschla</span>, 
<span class="CEURAUTHOR">Luca Strässle</span>, 
<span class="CEURAUTHOR">Luca A. Lanzendörfer</span>, 
<span class="CEURAUTHOR">Roger Wattenhofer</span>
</li>

<li id="paper3"><a href="paper3.pdf">
<span class="CEURTITLE">Hard Negative Sampling for Music Recommendation:
Real-World Impacts on Accuracy and Diversity</span></a>
<br>
<span class="CEURAUTHOR">M. Jeffrey Mei</span>, 
<span class="CEURAUTHOR">Oliver Bembom</span>, 
<span class="CEURAUTHOR">Andreas F. Ehmann</span>
</li>

<li id="paper4"><a href="paper4.pdf">
<span class="CEURTITLE">End-user Algorithmic Auditing for Music Discoverability:
A Research Roadmap</span></a>
<br>
<span class="CEURAUTHOR">Lorenzo Porcaro</span>, 
<span class="CEURAUTHOR">Emilia Gómez</span>, 
<span class="CEURAUTHOR">Tiziana Catarci</span>
</li>


<li id="paper5"><a href="paper5.pdf">
<span class="CEURTITLE">Navigating Discoverability in the Digital Era: A
Theoretical Framework</span></a>
<br>
<span class="CEURAUTHOR">Rebecca Salganik</span>, 
<span class="CEURAUTHOR">Valdy Wiratama</span>, 
<span class="CEURAUTHOR">Adelaida Afilipoaie</span>,
<span class="CEURAUTHOR">Heritiana Ranaivoson</span>
</li>


<li id="paper6"><a href="paper6.pdf">
<span class="CEURTITLE">Talking to Your Recs: Multimodal Embeddings For
Recommendation and Retrieval</span></a>
<br>
<span class="CEURAUTHOR">Sergio Oramas</span>, 
<span class="CEURAUTHOR">Andres Ferraro</span>, 
<span class="CEURAUTHOR">Alvaro Sarasua</span>,
<span class="CEURAUTHOR">Fabien Gouyon</span>
</li>

<li id="abstract2"><a href="abstract1.pdf">
<span class="CEURTITLE">Let’s Get It Started (Again!): Fostering the
Discoverability of New Releases on Deezer</span></a><br>
<span class="CEURAUTHOR">Léa Briand</span>,
<span class="CEURAUTHOR">Théo Bontempelli</span>,
<span class="CEURAUTHOR">Walid Bendada</span>,
<span class="CEURAUTHOR">Mathieu Morlon</span>,
<span class="CEURAUTHOR">François Rigaud</span>,
<span class="CEURAUTHOR">Benjamin Chapus</span>,
<span class="CEURAUTHOR">Thomas Bouabça</span>,
<span class="CEURAUTHOR">Guillaume Salha-Galvan</span>
</li>

</ul>


</div>


<hr>
<span class="unobtrusive">
2024-10-10: submitted by Christine Bauer, 
            metadata incl. bibliographic data published under <A HREF="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons CC0</A><br>
<span class="CEURPUBDATE">2024-10-11</span>: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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