Dataset Open Access
Mayerl, Maximilian; Vötter, Michael; Specht, Günther; Zangerle, Eva
<?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.7525833</identifier> <creators> <creator> <creatorName>Mayerl, Maximilian</creatorName> <givenName>Maximilian</givenName> <familyName>Mayerl</familyName> <affiliation>Universität Innsbruck</affiliation> </creator> <creator> <creatorName>Vötter, Michael</creatorName> <givenName>Michael</givenName> <familyName>Vötter</familyName> <affiliation>Universität Innsbruck</affiliation> </creator> <creator> <creatorName>Specht, Günther</creatorName> <givenName>Günther</givenName> <familyName>Specht</familyName> <affiliation>Universität Innsbruck</affiliation> </creator> <creator> <creatorName>Zangerle, Eva</creatorName> <givenName>Eva</givenName> <familyName>Zangerle</familyName> <affiliation>Universität Innsbruck</affiliation> </creator> </creators> <titles> <title>Pairwise Learning to Rank for Hit Song Prediction: Dataset</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2023</publicationYear> <dates> <date dateType="Issued">2023-01-11</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7525833</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.7525832</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"><p>Dataset for the paper &quot;Pairwise Learning to Rank for Hit Song Prediction&quot;, to be published at BTW 2023.</p></description> </descriptions> </resource>
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