电子邮件消息优先排序的智能代理

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Information Resources Management Journal Pub Date : 1995-04-01 DOI:10.4018/IRMJ.1995040102
L. Motiwalla
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引用次数: 20

摘要

像Internet和Bitnet这样的电信网络的普及,促进了电子邮件(e-mail)成为一种可行的商业通信工具,在各级管理中得到广泛使用。在一些组织中,电子邮件用户正被大量无用信息或“电子垃圾”邮件所淹没。这会干扰用户的信息处理能力,并对该通信工具的有用性产生负面影响。本文通过减少电子邮件中的信息过载来解决时间管理问题。一个名为AIMS的基于知识的代理被开发出来对电子邮件信息进行优先排序。AIMS与其他系统的不同之处在于三个方面:1,它不会给用户带来创建或维护消息优先级规则的负担;2,它利用用户的个人知识或偏好,结合组织考虑来对消息进行优先级排序;3,它在一个学术机构进行了评估,有46个电子邮件用户发现AIMS生成的优先级列表非常准确。
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An Intelligent Agent for Prioritizing E-Mail Messages
The proliferation of telecommunication networks, like Internet and Bitnet, has promoted electronic mail e-mail into a viable business communication tool with widespread use that traverses all levels of management. In some organizations, e-mail users are being overwhelmed with a barrage of useless messages or "electronic junk" mail. This interferes with a user's information processing capability and causes a negative effect on usefulness of this communication tool. This paper addresses the issue of time management by reducing information overload in email. A knowledge-based agent, called AIMS, was developed to prioritize e-mail messages. AIMS is different from other systems in three ways: 1 it does not burden users with the task of creating or maintaining message prioritizing rules, 2 it uses a user's personal knowledge or preferences with organizational considerations for prioritizing messages, and 3 it was evaluated at an academic institution with a group of 46 e-mail users who found the prioritized list generated by AIMS highly accurate.
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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