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Given a message, find legitimate readers: a 'flexible' mailbot-based approach

机译:收到消息后,找到合法的读者:一种基于“灵活”邮件机器人的方法

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Software agents are programs designed to perform tasks autonomously. Mail agents attempt to provide useful functions about electronic mail (E-mail) services, such as information filtering, gathering, and scheduling. The diffusion of the Internet has multiplied the amount of data and the number of information sources so the qualities that made E-mail so popular are now becoming a problem (e.g. the volume of junk or spam mail). Industrial as well as academic research has faced this problem in terms of automated filtering methods in order to distinguish, at the receiver-side, legitimate E-mail from spamming. We describe an alternative approach: our mail system is able to find, at the sender-side, "appropriate" destinations for a message by triggering a spidering process on (a portion of) the Web. This process performs distributed computation using mobile agents: by applying similarity-based reasoning on information extracted from the Web pages of potential addressees, the agents are able to compute a numeric value in [0, 1] which provides, for any address, a measure of the "interest" in receiving the E-mail.
机译:软件代理是旨在自主执行任务的程序。邮件代理尝试提供有关电子邮件(E-mail)服务的有用功能,例如信息过滤,收集和计划。互联网的普及使数据量和信息源数量成倍增长,因此使电子邮件如此流行的质量现在成为问题(例如,垃圾邮件或垃圾邮件的数量)。工业和学术研究都已经在自动过滤方法方面面临这个问题,以便在接收方将合法的电子邮件与垃圾邮件区分开。我们描述了一种替代方法:我们的邮件系统能够通过在Web的一部分上触发爬网过程,在发件人端找到消息的“适当”目的地。此过程使用移动代理执行分布式计算:通过对从潜在收件人的网页中提取的信息应用基于相似性的推理,代理能够计算[0,1]中的数值,该数值可为任何地址提供度量接收电子邮件的“兴趣”。

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