The University of Southampton
University of Southampton Institutional Repository

Learning Email Filtering Rules with Magi - A Mail Agent Interface

Payne, T.R. (1994) Learning Email Filtering Rules with Magi - A Mail Agent Interface University of Aberdeen, Department of Computing Science, Masters Thesis .

Record type: Thesis (Masters)


As the volume of data on the Internet increases the need for better tools to handle this flood of data is also growing. Interface agents are tools which are designed to aid the user in using various applications. This project describes the development of an agent which employs machine learning techniques to discover rules for filtering email. It explains how the agent observes the user in handling mail and how these observations are used to help automate this task. The agent is then evaluated, through testing, to examine whether such a tool can be useful as a personal assistant. A description of existing work is given, along with the design rationale, and a number of future extensions are suggested.

PDF msc_thesis.pdf - Other
Download (358kB)

More information

Published date: 1994
Organisations: Electronics & Computer Science


Local EPrints ID: 257789
PURE UUID: 5a9e1e71-c481-41ce-8351-e7856cd58923

Catalogue record

Date deposited: 24 Jun 2003
Last modified: 18 Jul 2017 09:35

Export record


Author: T.R. Payne

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.