Formulating effective questions for community-based question answering
Formulating effective questions for community-based question answering
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DOI：
10.1145/2009916.2010149
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发表时间：
2011-07
期刊：
影响因子：
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通讯作者：
Saori Suzuki;Shin-ichi Nakayama;Hideo Joho
中科院分区：
文献类型：
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作者：
Saori Suzuki;Shin-ichi Nakayama;Hideo Joho
基于社区的问答服务（CQA）已经成为人们在Web上寻求信息的主要场所。然而，许多关于CQA的研究都集中在预测给定问题的最佳答案上。本文探讨了CQA背景下有效问题的制定。特别是，我们研究了附加到基本问题上的上下文因素对提交答案的性能的影响。这项研究分析了46名参与者对266个问题的930个回答。结果表明，在问题中加入问卷的个人和社会属性有助于改善信息寻求问题和意见寻求问题的答案感知。
Community-based Question Answering (CQA) services have become a major venue for people's information seeking on the Web. However, many studies on CQA have focused on the prediction of the best answers for a given question. This paper looks into the formulation of effective questions in the context of CQA. In particular, we looked at effect of contextual factors appended to a basic question on the performance of submitted answers. This study analysed a total of 930 answers returned in response to 266 questions that were formulated by 46 participants. The results show that adding a questionnaire's personal and social attribute to the question helped improve the perceptions of answers both in information seeking questions and opinion seeking questions.