Asking the right question in collaborative q&a systems
Asking the right question in collaborative q&a systems
复制标题
在协作q中提出正确的问题
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
G. Houben
中科院分区：
文献类型：
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作者：
Jie Yang;C. Hauff;A. Bozzon;G. Houben
协作问答（CQA）平台是一个非常受欢迎的人群生成知识的存储库。通过提出问题，用户表示需要CQA社区的其他成员试图协作满足。良好的问题不太可能收到有用的回答，从而阻碍了整体知识生成过程。通常要求用户重新制定他们的需求，添加特定的细节，提供示例或简单地澄清其请求的上下文。提出一个好问题是一项可能需要问答者和其他社区成员之间进行几次互动的任务，从而延迟了实际的答复，并可能减少了社区对问题的利益。本文通过调查用户的编辑行为来为CQA平台的研究提供新的见解。我们确定了许多编辑操作，并为自动建议提供了两步方法，即针对新创建的问题执行最可能的编辑操作。我们在堆栈溢出CQA的背景下评估了我们的方法，证明了如何在给定类型的编辑动作中提供准确的重新重新提出建议。
Collaborative Question Answering (cQA) platforms are a very popular repository of crowd-generated knowledge. By formulating questions, users express needs that other members of the cQA community try to collaboratively satisfy. Poorly formulated questions are less likely to receive useful responses, thus hindering the overall knowledge generation process. Users are often asked to reformulate their needs, adding specific details, providing examples, or simply clarifying the context of their requests. Formulating a good question is a task that might require several interactions between the asker and other community members, thus delaying the actual answering and, possibly, decreasing the interest of the community in the issue. This paper contributes new insights to the study of cQA platforms by investigating the editing behaviour of users. We identify a number of editing actions, and provide a two-step approach for the automatic suggestion of the most likely editing actions to be performed for a newly created question. We evaluated our approach in the context of the Stack Overflow cQA , demonstrating how, for given types of editing actions, it is possible to provide accurate reformulation suggestions.