Learning natural ordering of tags in domain-specific Q&A sites  

作　　者：Junfang JIA Guoqiang LP 

机构地区：[1]School of Computer and Network Engineering,Shanxi Datong University,Datong 037009,China [2]School of Software,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《Frontiers of Information Technology & Electronic Engineering》2021年第2期170-184,共15页信息与电子工程前沿（英文版）

基　　金：Project supported by the Shanxi Datong University Project(No.2012k6);Shanxi Datong University Educational Reform Project(No.xjg2015202)。

摘　　要：Tagging is a defining characteristic of Web 2.0.It allows users of social computing systems(e.g.,question and answering(Q&A)sites)to use free terms to annotate content.However,is tagging really a free action?Existing work has shown that users can develop implicit consensus about what tags best describe the content in an online community.However,there has been no work studying the regularities in how users order tags during tagging.In this paper,we focus on the natural ordering of tags in domain-specific Q&A sites.We study tag sequences of millions of questions in four Q&A sites,i.e.,CodeProject,SegmentFault,Biostars,and CareerC up.Our results show that users of these Q&A sites can develop implicit consensus about in which order they should assign tags to questions.We study the relationships between tags that can explain the emergence of natural ordering of tags.Our study opens the path to improve existing tag recommendation and Q&A site navigation by leveraging the natural ordering of tags.

关 键 词：Question and answering(Q&A)sites Tagging Natural order Skip gram 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]