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文章基本信息

  • 标题:Development of Tag Ranking-Based Image Search System
  • 本地全文:下载
  • 作者:Si-Hwa Lee ; Sae-Hong Cho ; Dae-Hoon Hwang
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2014
  • 卷号:8
  • 期号:2
  • 页码:229-234
  • DOI:10.14257/ijseia.2014.8.2.22
  • 出版社:SERSC
  • 摘要:The existing tag-based systems offer search results with low accuracy, as they provide search results through a single tag matching by using content-tagged tags. Because users do not consider correlations and priorities between tags upon content tagging, the content and relevant information that the tags have are not efficiently offered. In this context, this study suggests a cluster-based tag ranking and search system using tag similarity to solve the problems mentioned above. Through such a system, the existing single tag matching problem can be solved.
  • 关键词:Tag; Tag Similarity; WordNet; Tag Ranking
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