Intelligent User Interfaces for Social Music Discovery and Exploration of Large-scale Music Repositories

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Abstract

In this position paper, we address the question of how to make music search and discovery more appealing, more exciting, and more joyful. In particular, we argue to research methods that foster serendipitous encounters with music items and to integrate ways for social interaction while exploring music collections and discovering the gems in today’s huge catalogs available through online streaming platforms. We identify two major challenges here: the need for (i) highly effi- cient clustering and information visualization techniques that scale to these music catalogs and (ii) novel user interfaces that explain the clustering of music items and provide means to make the exploration of music a social event.
Original languageEnglish
Title of host publicationProceedings of the 22nd ACM International Conference on Intelligent User Interfaces (IUI 2017): Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE 2017
Number of pages5
Publication statusPublished - Mar 2017

Fields of science

  • 202002 Audiovisual media
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102015 Information systems

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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