Dataset Open Access

EconBizRecSys evaluation result

Nishioka, Chifumi; Scherp, Ansgar


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  <identifier identifierType="URL">https://zenodo.org/record/2873195</identifier>
  <creators>
    <creator>
      <creatorName>Nishioka, Chifumi</creatorName>
      <givenName>Chifumi</givenName>
      <familyName>Nishioka</familyName>
      <affiliation>Kiel University and Leibniz Information Centre for Economics</affiliation>
    </creator>
    <creator>
      <creatorName>Scherp, Ansgar</creatorName>
      <givenName>Ansgar</givenName>
      <familyName>Scherp</familyName>
      <affiliation>Kiel University and Leibniz Information Centre for Economics</affiliation>
    </creator>
  </creators>
  <titles>
    <title>EconBizRecSys evaluation result</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-05-16</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2873195</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.7802/1224</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/moving-h2020</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://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 is the evaluation result from the experiment of the paper: C. Nishioka and A. Scherp &amp;quot;Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles?&amp;quot;, JCDL, 2016. The paper reported the experiment of the scientific publication recommender system. The dataset contains evaluations of the recommended scientific publications made by anonymized 123 participants in the experiment.&lt;/p&gt;

&lt;p&gt;Please refer to &lt;a href="http://dx.doi.org/10.7802/1224"&gt;http://dx.doi.org/10.7802/1224&lt;/a&gt;&amp;nbsp; for a detailed descriptions of the dataset.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["C. Nishioka and A. Scherp. \"Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles?\", In JCDL, pp. 171-180, 2016. DOI:10.1145/2910896.2910898"]}</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/693092/">693092</awardNumber>
      <awardTitle>Training towards a society of data-savvy information professionals to enable open leadership innovation</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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