最小(e)d你的标签:在StackOverflow问题响应时间的分析

Vasudev D. Bhat, Adheesh Gokhale, Ravi Jadhav, J. Pudipeddi, L. Akoglu
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引用次数: 52

摘要

在问答(Q&A)网站上发布一个新问题,需要多长时间才能收到答案?回答时间与提问者的提问方式有关吗?如果有,这些因素是什么?随着社交媒体和网络的发展,问答网站已经成为互联网用户获取信息的主要来源。问题的响应时间是这些网站的一个重要方面,因为它与用户的满意度和参与度有关,因此与这些在线社区的寿命有关。在本文中,我们研究并估计了StackOverflow(一个流行的在线问答论坛,软件开发人员在其中发布和回答与编程相关的问题)中问题的响应时间。我们分析了数据中的一长串因素,并确定了那些与响应时间有明确关系的因素。我们的主要发现是,与标签相关的因素,比如它们的“受欢迎程度”(标签被使用的频率)和它们的“订阅者”数量(有多少用户可以回答包含标签的问题),比与标签无关的因素提供了更有力的证据。最后,我们使用识别的证据特征学习模型来预测问题的响应时间,这也证明了提问者选择的标签的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Min(e)d your tags: Analysis of Question response time in StackOverflow
Given a newly posted question on a Question and Answer (Q&A) site, how long will it take until an answer is received? Does response time relate to factors about how the question asker composes their question? If so, what are those factors? With advances in social media and the Web, Q&A sites have become a major source of information for Internet users. Response time of a question is an important aspect in these sites as it is associated with the users' satisfaction and engagement, and thus the lifespan of these online communities. In this paper we study and estimate response time for questions in StackOverflow, a popular online Q&A forum where software developers post and answer questions related to programming. We analyze a long list of factors in the data and identify those that have clear relation with response time. Our key finding is that tag-related factors, such as their “popularity” (how often the tag is used) and the number of their “subscribers” (how many users can answer questions containing the tag), provide much stronger evidence than factors not related to tags. Finally, we learn models using the identified evidential features for predicting the response time of questions, which also demonstrate the significance of tags chosen by the question asker.
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