QFami: An Integrated Environment for Recommending Answerers on Campus
QFami: An Integrated Environment for Recommending Answerers on Campus
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QFami：用于推荐校园答题者的集成环境
DOI：
10.1007/978-3-030-90176-9_17
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Konomi Shin’ichi
中科院分区：
文献类型：
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作者：
Hu Xiangyuan;Konomi Shin’ichi
随着互联网的发展，人们越来越多地使用搜索引擎来获取问题的答案，满足他们对知识的渴望。虽然搜索引擎经常快速提供一些信息，但它们可能无法提供人们真正需要的信息。尽管搜索引擎无处不在，人们还是会向其他人提问，以寻求有价值的本地信息并丰富社交体验。现有的社交应用程序，如Stack Overflow和其他社区问题存储系统，允许人们有效地交换知识。然而，他们主要考虑的专业知识来推荐回答者，这将不足以支持现实世界环境中的问答活动。在这项工作中，我们提出了QFami，一个新的集成的Q& A环境的物理为基础的Q & A的场景在校园里，QFami结合了兴趣的专业知识，接近度，位置，和其他上下文因素，可以推断通过使用各种传感器上的移动的手机。
With the development of the Internet, people increasingly use search engines to obtain the answers for their questions and quench their thirst for knowledge. Although search engines often provide some information quickly, they can fail to provide what people really need. Despite the ubiquitous availability of search engines, people ask questions to other people to seek valuable local information and enrich social experiences. Existing social applications such as Stack Overflow and other Community Question Answering systems allow people to exchange knowledge efficiently. However, they mainly consider the expertise to recommend answerers, which would not be sufficient for supporting Q&A activities in real-world environments. In this work, we propose QFami, a novel integrated Q&A environment for physically-based Q&A scenarios on campus, QFami incorporates the interest expertise, proximity, locations, and other contextual factors that can be inferred by using various sensors on mobile phones.