1 Ocak 2011 Dergi makalesi Açık Erişim

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

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        "affiliation": "Ege Univ, Int Comp Inst, TR-35100 Izmir, Turkey", 
        "name": "Kocabas, Ilker"
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      {
        "affiliation": "Mugla Univ, Dept Stat, TR-48100 Mugla, Turkey", 
        "name": "Dincer, Bekir Taner"
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      {
        "affiliation": "Ege Univ, Int Comp Inst, TR-35100 Izmir, Turkey", 
        "name": "Karaoglan, Bahar"
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    "description": "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.", 
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    "journal": {
      "issue": "6", 
      "pages": "993-1004", 
      "title": "TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES", 
      "volume": "19"
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    "publication_date": "2011-01-01", 
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    "title": "Investigation of Luhn's claim on information retrieval"
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