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A deniable and efficient question and answer service over ad hoc social networks

机译:通过临时社交网络提供有效,有效的问答服务

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摘要

When people are connected together over ad hoc social networks, it is possible to ask questions and retrieve answers using the wisdom of the crowd. However, locating a suitable candidate for answering a specific unique question within larger ad hoc groups is non-trivial, especially if we wish to respect the privacy of users by providing deniability. All members of the network wish to source the best possible answers from the network, while at the same time controlling the levels of attention required to generate them by the collective group of individuals and/or the time taken to read all the answers. Conventional expert retrieval approaches rank users for a given query in a centralised indexing process, associating users with material they have previously published. Such an approach is antithetical to privacy, so we have looked to distribute the routing of questions and answers, converting the indexing process into one of building a forwarding table. Starting from the simple operation of flooding the question to everyone, we compare a number of different routing options, where decisions must be made based on past performance and exploitation of the knowledge of our immediate neighbours. We focus on fully decentralised protocols using anf-inspired tactics to route questions towards members of the network who may be able to answer them well. Simultaneously, privacy concerns are acknowledged by allowing both question asking and answering to be plausibly deniable. We have found that via our routing method, it is possible to improve answer quality and also reduce the total amount of user attention required to generate those answers.
机译:当人们通过临时社交网络连接在一起时,可以使用人群的智慧提出问题并检索答案。但是,在大型ad hoc组中找到合适的候选人来回答特定的独特问题并非易事,特别是如果我们希望通过提供可否认性来尊重用户的隐私。网络的所有成员都希望从网络中获得最佳答案,同时要控制集体的集体才能生成答案所需的注意力水平和/或读取所有答案所花费的时间。传统的专家检索方法在集中索引过程中为给定查询的用户排名,将用户与其先前发布的资料相关联。这种方法与隐私相反,因此我们寻求分发问题和答案的路由,将索引过程转换为构建转发表之一。从将问题泛滥到每个人的简单操作开始,我们比较了许多不同的路由选择,在这些选择中,必须根据过去的表现以及对我们近邻知识的利用来做出决策。我们集中在完全分散的协议上,使用启发式策略将问题路由到网络成员,他们可能能够很好地回答这些问题。同时,通过允许对问题的提问和回答均被合理地拒绝,可以确认隐私问题。我们发现,通过我们的路由方法,可以提高答案质量,还可以减少生成这些答案所需的用户注意力总量。

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