1 Ocak 2011 Dergi makalesi Açık Erişim

Kocabas, Ilker; Dincer, Bekir Taner; Karaoglan, Bahar

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/22341</identifier>
  <creators>
    <creator>
      <creatorName>Kocabas, Ilker</creatorName>
      <givenName>Ilker</givenName>
      <familyName>Kocabas</familyName>
      <affiliation>Ege Univ, Int Comp Inst, TR-35100 Izmir, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Dincer, Bekir Taner</creatorName>
      <givenName>Bekir Taner</givenName>
      <familyName>Dincer</familyName>
      <affiliation>Mugla Univ, Dept Stat, TR-48100 Mugla, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Karaoglan, Bahar</creatorName>
      <givenName>Bahar</givenName>
      <familyName>Karaoglan</familyName>
      <affiliation>Ege Univ, Int Comp Inst, TR-35100 Izmir, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Investigation Of Luhn'S Claim On Information Retrieval</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2011</publicationYear>
  <dates>
    <date dateType="Issued">2011-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/22341</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.3906/elk-1003-448</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">In this study, we show how Luhn's claim about the degree of importance of a word in a document can be related to information retrieval. His basic idea is transformed into z -scores as the weights of terms for the purpose of modeling terra frequency (If) within documents. The Luhn-based models represented in this paper are considered as the TF component of proposed TF x IDF weighing schemes. Moreover, the final term weighting functions appropriate for the TF x IDF weighting scheme are applied to TREC-6, -7, and -8 databases. The experimental results show relevance to Luhn's claim by having high mean average precision (MAP) for the terms with frequencies around the mean frequency of terms within a document. On the other hand, the weighting, which significantly discriminates the importance between low/high frequencies and medium frequencies, degrades the retrieval performance. Therefore, any weighting scheme (TF) that is directly proportional to If has a probability of high retrieval performance, if this can optimally indicate the difference of the importance regarding tf values and also optimally eliminate the terms that have high frequencies.</description>
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