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European Conference on Information Retrieval

ECIR 2021: Advances in Information Retrieval pp 531–536Cite as

LEMONS: Listenable Explanations for Music recOmmeNder Systems

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12657))

Abstract

Although current music recommender systems suggest new tracks to their users, they do not provide listenable explanations of why a user should listen to them. LEMONS (Demonstration video: https://youtu.be/giSPrPnZ7mc) is a new system that addresses this gap by (1) adopting a deep learning approach to generate audio content-based recommendations from the audio tracks and (2) providing listenable explanations based on the time-source segmentation of the recommended tracks using the recently proposed audioLIME.

A. B. Melchiorre and V. Haunschmid—These authors contributed equally.

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Notes

  1. 1.

    https://github.com/cpjku/lemons.

  2. 2.

    Details about training and architecture can be found in our GitHub repository.

  3. 3.

    https://www.7digital.com/.

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Author information

Authors and Affiliations

  1. Johannes Kepler University (JKU), Linz, Austria

    Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl & Gerhard Widmer

  2. Linz Institute of Technology (LIT), Linz, Austria

    Alessandro B. Melchiorre, Markus Schedl & Gerhard Widmer

Authors
  1. Alessandro B. Melchiorre
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  2. Verena Haunschmid
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  3. Markus Schedl
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  4. Gerhard Widmer
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Corresponding author

Correspondence to Alessandro B. Melchiorre .

Editor information

Editors and Affiliations

  1. Radboud University Nijmegen, Nijmegen, The Netherlands

    Djoerd Hiemstra

  2. Department of Computer Science, Katholieke Universiteit Leuven, Heverlee, Belgium

    Marie-Francine Moens

  3. Toulouse, Toulouse Institute of Computer Science Research, Toulouse, France

    Josiane Mothe

  4. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Raffaele Perego

  5. Leipzig University, Leipzig, Germany

    Martin Potthast

  6. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Fabrizio Sebastiani

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Melchiorre, A.B., Haunschmid, V., Schedl, M., Widmer, G. (2021). LEMONS: Listenable Explanations for Music recOmmeNder Systems. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_60

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  • DOI: https://doi.org/10.1007/978-3-030-72240-1_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72239-5

  • Online ISBN: 978-3-030-72240-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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