Dataset Open Access

LFM-BeyMS

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


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.3784765</identifier>
  <creators>
    <creator>
      <creatorName>Peter Müllner</creatorName>
      <affiliation>Know-Center GmbH</affiliation>
    </creator>
    <creator>
      <creatorName>Dominik Kowald</creatorName>
      <affiliation>Know-Center GmbH</affiliation>
    </creator>
    <creator>
      <creatorName>Markus Schedl</creatorName>
      <affiliation>JKU Linz</affiliation>
    </creator>
    <creator>
      <creatorName>Christine Bauer</creatorName>
      <affiliation>JKU Linz</affiliation>
    </creator>
    <creator>
      <creatorName>Eva Zangerle</creatorName>
      <affiliation>University of Innsbruck</affiliation>
    </creator>
    <creator>
      <creatorName>Elisabeth Lex</creatorName>
      <affiliation>Graz University of Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>LFM-BeyMS</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-05-05</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3784765</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3784764</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;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.&amp;nbsp;For more details, we refer to our publication in &lt;a href="https://arxiv.org/abs/2102.12188"&gt;https://arxiv.org/abs/2102.12188&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;LFM-BeyMS contains&lt;br&gt;
* 4,148 users&lt;br&gt;
* 1,084,922 tracks&lt;br&gt;
* 110,898 artists&lt;br&gt;
* 16,687,363 listening events&lt;/p&gt;

&lt;p&gt;The python code utilized for generating and exhaustively analyzing this dataset&amp;nbsp;can be found in&amp;nbsp;&lt;a href="https://github.com/pmuellner/supporttheunderground"&gt;https://github.com/pmuellner/supporttheunderground&lt;/a&gt;.&lt;/p&gt;</description>
  </descriptions>
</resource>
274
16
views
downloads
All versions This version
Views 274273
Downloads 1616
Data volume 52.1 GB52.1 GB
Unique views 229228
Unique downloads 1515

Share

Cite as