Formulating effective questions for community-based question answering

Saori Suzuki, Shin-ichi Nakayama, Hideo Joho
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引用次数: 10

Abstract

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.
为社区问答制定有效的问题
基于社区的问答服务已经成为人们在网络上寻找信息的主要场所。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。本文探讨了在CQA情境下有效问题的制定。特别是,我们研究了附加在基本问题上的上下文因素对提交答案的表现的影响。这项研究分析了46名参与者对266个问题的930个答案。结果表明,在问题中加入问卷的个人属性和社会属性有助于提高信息寻求问题和意见寻求问题对答案的感知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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