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首页> 外文会议>International Conference on Intelligent Environments >Progress Towards a Smarter Office via a Novel Intelligent System for Message Organisation by Unifying E-Mails Phone Calls
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Progress Towards a Smarter Office via a Novel Intelligent System for Message Organisation by Unifying E-Mails Phone Calls

机译：通过统一电子邮件和电话，通过新颖的智能系统对智能系统进行进展

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This paper describes the background to a commercial software service called Threads that was developed to allow the sharing of various message types amongst a community of users - typically all working for the same organisation. Recognising the difficulty that many users have in finding even their own e-mail, a key design goal was to make the sharing and searching of large quantity of disparate messages easier than any existing personal mail client. The project has concentrated on developing a user interface that is easy to use rather than easy to program and, in so doing, has highlighted some interesting user perspectives. This paper discusses the typical user's needs and some of the features Threads uses to meet them. We then introduce a novel intelligent method for organising such messages automatically, according to statistics relating to less common words (called "keywords") which they contain. Initial experiments using this method are described, using both e-mail data from the parent company, and on the publicly available ENRON dataset of e-mails and phone calls. These preliminary results are interesting, but suggest the method as currently implemented is only suitable for semi-automatic classification, but not yet for fully automated allocations to projects. The paper concludes with a glimpse into the future prospects for message sharing and planned future developments to the Threads system.
机译：本文介绍了被开发的名为线程的商业软件服务的背景，以允许在用户社区中共享各种消息类型 -​​ 通常为同一组织工作。认识到许多用户在寻找自己的电子邮件中的困难，这是一个关键的设计目标是使共享和搜索大量不同的消息比任何现有的个人邮件客户端更容易。该项目集中在开发一个易于使用的用户界面，而不是易于编程，并且在这样做时，突出了一些有趣的用户透视图。本文讨论了典型的用户的需求，其中一些功能线程用于满足它们。然后，我们介绍一种新颖的智能方法，用于自动组织此类消息，根据它们包含的常见词（称为“关键字”）相关的统计信息。使用来自父公司的电子邮件数据以及电子邮件和电话通话的公开可用的安藤数据集，描述了使用此方法的初始实验。这些初步结果很有意思，但建议目前实施的方法仅适用于半自动分类，但尚未为项目提供全自动分配。本文的结论是一睹消息分享的未来前景，并计划未来的线程系统的发展。

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