Dataset Open Access

LFM-BeyMS

Peter Müllner; Dominik Kowald; Markus Schedl; Christine Bauer; Eva Zangerle; Elisabeth Lex


Dublin Core Export

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  <dc:creator>Peter Müllner</dc:creator>
  <dc:creator>Dominik Kowald</dc:creator>
  <dc:creator>Markus Schedl</dc:creator>
  <dc:creator>Christine Bauer</dc:creator>
  <dc:creator>Eva Zangerle</dc:creator>
  <dc:creator>Elisabeth Lex</dc:creator>
  <dc:date>2020-05-05</dc:date>
  <dc:description>This dataset is based on the LFM-1b [1] and the Cultural LFM-1b [2] datasets. LFM-BeyMS includes equally-sized groups of both, beyond-mainstream and mainstream music listeners and thus, can be used for studying the characteristics of beyond-mainstream music listeners for recommendation experiments. For more details, we refer to our publication in https://arxiv.org/abs/2102.12188.

LFM-BeyMS contains
* 4,148 users
* 1,084,922 tracks
* 110,898 artists
* 16,687,363 listening events

The python code utilized for generating and exhaustively analyzing this dataset can be found in https://github.com/pmuellner/supporttheunderground.</dc:description>
  <dc:identifier>https://zenodo.org/record/3784765</dc:identifier>
  <dc:identifier>10.5281/zenodo.3784765</dc:identifier>
  <dc:identifier>oai:zenodo.org:3784765</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3784764</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>LFM-BeyMS</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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