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Tag Quality Feedback: A Framework for Quantitative and Qualitative Feedback on Tags of Social Web

机译:标签质量反馈:社交网站标签定量和定性反馈的框架

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摘要

A feedback framework is proposed in this paper to assist Web 2.0 users' taggings. A new measure called Estimated Daily Visit is defined and proposed as the measure for tag quality. Quantitative and qualitative feedback methods are also defined with the measure. A prototype has been implemented to show the validity of the framework, and preliminary result shows that the framework can successfully enhance quality of tags on user-generated contents.
机译:本文提出了一个反馈框架来帮助Web 2.0用户进行标记。定义并提出了一种称为“估计的每日访问量”的新度量,作为标记质量的度量。度量也定义了定量和定性反馈方法。已经实现了一个原型来证明该框架的有效性,初步结果表明该框架可以成功地提高用户生成内容上标签的质量。

著录项

  • 来源
  • 会议地点 Daegu(KR);Daegu(KR)
  • 作者单位

    Department of Computer Engineering Kyungpook National University 702-701 Daegu, Korea;

    Department of Computer Engineering Kyungpook National University 702-701 Daegu, Korea;

    Department of Computer Engineering Kyungpook National University 702-701 Daegu, Korea;

    Department of Computer Engineering Kyungpook National University 702-701 Daegu, Korea;

    Department of Computer Engineering Kyungpook National University 702-701 Daegu, Korea;

    School of Computer Engineering, Kyungil University,Gyeongsan 712-701, Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
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