A Mailing List Management System Mashing-Up with Web Services

Keisuke Fujiwara, Y. Nomura, H. Taniguchi
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引用次数: 1

Abstract

Mailing list (ML) was a popular system for discussing specific topics and was an easy tool for making birds of a feather. However, today, such kinds of MLs seem to be shrunk. Instead, we usually use SNS or Wiki systems for these purposes. Do you think ML was dead? No, you would receive many mails every day via several MLs. We think today's MLs are still alive changing their styles from mass service to small-internal service. The small-internal MLs are alive in small sections of offices and labs of universities. These kinds of MLs have different characteristics from traditional mass MLs. However, we don't have any good ML management system conforming with the new style MLs. We have to settle for using old-style popular ML administration systems in spite of the mismatch of use-case. We have developed a new ML management system, which helps the new small-internal MLs. In this paper, we explain that our ML system effectively helps users' group work mashing-up with other intranet or Internet web services.
一个与Web服务混搭的邮件列表管理系统
邮件列表(ML)是一种讨论特定主题的流行系统,也是一种简单的工具。然而,今天,这类ml似乎被缩减了。相反,我们通常使用SNS或Wiki系统来实现这些目的。你觉得ML死了吗?不,你每天会通过几封邮件收到许多邮件。我们认为今天的MLs仍然活着,正在改变他们从大规模服务到小型内部服务的风格。小型内部机器学习活跃在大学办公室和实验室的小区域。这些类型的机器学习具有不同于传统质量机器学习的特点。但是,我们没有一个很好的符合新风格ML的ML管理系统。尽管用例不匹配,但我们必须满足于使用老式的流行ML管理系统。我们开发了一个新的ML管理系统,帮助新的小型内部ML。在本文中,我们解释了我们的机器学习系统有效地帮助用户组工作与其他内部网或互联网web服务混搭。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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