CAJ | 학술논문

近年来，维基百科词条数量快速增长，如何帮助用户从中找到高质量的、内容可靠的信息变得越来越重要。但是，维基百科自身提供的基于同行评审的词条质量评价方法效率过低。提出一种基于编辑者行为分析的词条质量评价方法，把词条质量评价问题转化为词条分类问题，实现了词条质量的自动评价，也取得了较高的质量评价准确率。
근년래，유기백과사조수량쾌속증장，여하방조용호종중조도고질량적、내용가고적신식변득월래월중요。단시，유기백과자신제공적기우동행평심적사조질량평개방법효솔과저。제출일충기우편집자행위분석적사조질량평개방법，파사조질량평개문제전화위사조분류문제，실현료사조질량적자동평개，야취득료교고적질량평개준학솔。
The number of articles in Wikipedia grew rapidly in recent years. It has become an increasingly important issue to find out high-quality and reliable information for common users. However, the peer-review quality detection measurement presently adopted by Wiki-pedia is too inefficient. In this paper, a new method is proposed, and the quality assessing problem is transformed into article classification problems, which is more accurate than other similar measurement methods so far.