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        <identifier>oai:meral.edu.mm:recid/5075</identifier>
        <datestamp>2021-12-13T03:38:30Z</datestamp>
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          <dc:title>Document Ranking System Using Pivoted Document Length Normalization</dc:title>
          <dc:creator>Aung, Htar Htar</dc:creator>
          <dc:creator>Phyu, Hnin Pwint</dc:creator>
          <dc:description>Information Retrieval System is used inmany applications for searching informationwithin databases or documents. With the growth ofinformation, it becomes increasingly difficult toretrieve the relevant documents. DocumentRanking System is important for InformationRetrieval. By using Document Ranking System, thefinal result value is closely similar with the user'srequests or requirements. So, relative document byranking scores is important. Therefore, this systemis performed by using Pivoted Document LengthNormalization approach to rank the relevance ofInternational Conference on ComputerApplications (ICCA) Paper. The user can searchthe intentional portable document format papervery quickly in this system</dc:description>
          <dc:date>2017-12-27</dc:date>
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          <dc:identifier>https://meral.edu.mm/records/5075</dc:identifier>
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