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Personalizing self-organizing music spaces with anchors: design and evaluation

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Abstract

We propose and evaluate a system for content-based visualization and exploration of music collections. The system is based on a modification of Kohonen’s Self-Organizing Map algorithm and allows users to choose the locations of clusters containing acoustically similar tracks on the music space. A user study conducted to evaluate the system shows that the possibility of personalizing the music space was perceived as difficult. Conversely, the user study and objective metrics derived from users’ interactions with the interface demonstrate that the proposed system helped individuals create playlists faster and, under some circumstances, more effectively. We believe that personalized browsing interfaces are an important area of research in Multimedia Information Retrieval, and both the system and user study contribute to the growing work in this field.

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Notes

  1. http://www.billboard.com/charts.

  2. http://www.officialcharts.com/charts/singles-chart/.

  3. http://pitchfork.com/best/.

  4. https://github.com/leandrocollares/soundanchoring.

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Acknowledgments

Tiago F. Tavares would like to thank São Paulo Research Foundation, fapesp, for funding.

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Authors and Affiliations

  1. Department of Computer Science, University of Victoria, 3800 Finnerty Rd., Victoria, BC, V8P 5C2, Canada

    Leandro Collares, Amy Gooch & George Tzanetakis

  2. School of Electrical and Computer Engineering, University of Campinas, Campinas, SP, Brazil

    Tiago F. Tavares

Authors
  1. Leandro Collares
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  2. Tiago F. Tavares
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  3. Amy Gooch
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  4. George Tzanetakis
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Correspondence to Leandro Collares.

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Collares, L., Tavares, T.F., Gooch, A. et al. Personalizing self-organizing music spaces with anchors: design and evaluation. Multimed Tools Appl 77, 5525–5545 (2018). https://doi.org/10.1007/s11042-017-4465-8

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  • DOI: https://doi.org/10.1007/s11042-017-4465-8

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