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SOS: A Distributed Mobile Q&A SystemBased on Social Networks

机译:SOS:基于社交网络的分布式移动问答系统

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Recently, emerging research efforts have been focused on question and answer (Q&A) systems based on social networks. The social-based Q&A systems can answer non-factual questions, which cannot be easily resolved by web search engines. These systems either rely on a centralized server for identifying friends based on social information or broadcast a user's questions to all of its friends. Mobile Q&A systems, where mobile nodes access the Q&A systems through Internet, are very promising considering the rapid increase of mobile users and the convenience of practical use. However, such systems cannot directly use the previous centralized methods or broadcasting methods, which generate high cost of mobile Internet access, node overload, and high server bandwidth cost with the tremendous number of mobile users. We propose a distributed Social-based mObile Q&A System (SOS) with low overhead and system cost as well as quick response to question askers. SOS enables mobile users to forward questions to potential answerers in their friend lists in a decentralized manner for a number of hops before resorting to the server. It leverages lightweight knowledge engineering techniques to accurately identify friends who are able to and willing to answer questions, thus reducing the search and computation costs of mobile nodes. The trace-driven simulation results show that SOS can achieve a high query precision and recall rate, a short response latency and low overhead. We have also deployed a pilot version of SOS for use in a small group in Clemson University. The feedback from the users shows that SOS can provide high-quality answers.
机译:最近,新兴的研究工作已集中在基于社交网络的问答系统上。基于社交的问答系统可以回答非事实问题,而这些问题无法通过网络搜索引擎轻松解决。这些系统要么依靠中央服务器根据社交信息识​​别朋友,要么将用户的问题广播给所有朋友。考虑到移动用户的快速增长和实际使用的便利性,移动节点通过互联网访问问答系统的移动问答系统非常有前途。但是,这样的系统不能直接使用先前的集中式方法或广播方法,这会产生大量移动用户的高成本移动互联网访问,节点过载和高服务器带宽成本。我们提出了一种分布式的基于社交的移动问答系统(SOS),该系统具有较低的开销和系统成本,并且可以快速回答提问者。 SOS使移动用户可以在向服务器求助之前,以分散的方式将问题转发给其好友列表中的潜在应答者多次跳数。它利用轻量级的知识工程技术来准确识别有能力并愿意回答问题的朋友,从而降低了移动节点的搜索和计算成本。跟踪驱动的仿真结果表明,SOS可以实现较高的查询精度和召回率,较短的响应延迟和较低的开销。我们还部署了SOS的试用版,供克莱姆森大学的一个小组使用。用户的反馈表明SOS可以提供​​高质量的答案。

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