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i-ems(Intelligent Electronic Mail Sorter) is an interface of e-mail client to organise e-mail items with automatic induction. We need to consider how we apply automatic induction in organising e-mail items so that user can willingly accept it. E-mail items are a simple database with small number of fields and they are everyday task. If we could sort a huge number of e-mail items efficiently, we would be able to save a lot of time and money. The future research beyond this project will cover AI and smart clustering so the result of this project should be extensible for these. Thunderbird is an open source software we can modify or add its functionalities. We can add sorting functionality to Thunderbird by implementing a Thunderbird Extension. This saves us much time because we do not need to implement the other functionalities for an e-mail client. We need prediction rules for e-mail sorting and these are managed by prediction manager. E-mail items are organised by there rules and user can execute user commands on GUI. He can either accept suggested predicted folder provided by the prediction manager or assign the target folder for e-mail items manually. We have an installable package which works with Thunderbird regardless of platforms. Installation of 1.1 Overvie

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.2848
Provided by: CiteSeerX
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