基于用户行为分析的维基百科词条质量评价方法

Detection of Article Qualities in Wikipedia Based on Analysis of User Behaviors

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。

The number of articles in Wikipedia grew rapidly in recent years. It has become an increasingly important issue to find out high -quality and reliableinformation 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.