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Frontiers of Information Technology & Electronic Engineering

ISSN 2095-9184

Frontiers of Information Technology & Electronic Engineering  2021, Vol. 22 Issue (2): 170-184   https://doi.org/10.1631/FITEE.1900645
  本期目录
特定领域问答网站中的标签自然顺序研究
贾俊芳1(), 李国强2()
1. 山西大同大学计算机与网络工程学院,中国大同市,037009
2. 上海交通大学软件学院,中国上海市,200240
Learning natural ordering of tags in domain-specificQ&Asites
Junfang JIA1(), Guoqiang LI2()
1. School of Computer and Network Engineering, Shanxi Datong University, Datong 037009, China
2. School of Software, Shanghai Jiao Tong University, Shanghai 200240, China
 全文: PDF(1128 KB)  
摘要:

标注是Web 2.0的一个重要特征。它使得社会计算系统(如问答网站)的用户们可以自由地标记内容。然而,标注真的是自由不受限的吗?现有工作表明,用户们常常可以隐性地就哪种标签最能描述在线社区的内容达成共识。然而,目前还没有针对用户在标注过程中对标签排序的规律性开展研究。本文专注于研究特定领域问答网站中的标签自然排序,并对CodeProject,SegmentFault,Biostars以及CareerCup 4个问答网站上数以百万计的问题中的标签序列进行研究。结果表明,这些问答网站的用户可以就问题标签的排序达成隐性共识。研究了标签之间的关系,这些关系可以解释标签自然顺序的出现。该研究为利用标签的自然顺序提升现有标签推荐以及问答站点导航提供了可能。

Abstract

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 CareerCup. 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.

Key wordsQuestion and answering (Q&A) sites    Tagging    Natural order    Skip gram
收稿日期: 2019-11-24      出版日期: 2021-03-10
通讯作者: 李国强     E-mail: jiajunfang816@163.com;li.g@sjtu.edu.cn
Corresponding Author(s): Guoqiang LI   
 引用本文:   
贾俊芳, 李国强. 特定领域问答网站中的标签自然顺序研究[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(2): 170-184.
Junfang JIA, Guoqiang LI. Learning natural ordering of tags in domain-specificQ&Asites. Front. Inform. Technol. Electron. Eng, 2021, 22(2): 170-184.
 链接本文:  
https://academic.hep.com.cn/fitee/CN/10.1631/FITEE.1900645
https://academic.hep.com.cn/fitee/CN/Y2021/V22/I2/170
[1] FITEE-0170-20003-JFJ_suppl_1 Download
[2] FITEE-0170-20003-JFJ_suppl_2 Download
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