DocumentCode :
567177
Title :
Machine learning approach towards email management
Author :
Ayodele, Taiwo ; Akmayeva, Galyna ; Shoniregun, Charles A.
Author_Institution :
Machine Learning Lab., Infonetmedia Ltd., Portsmouth, UK
fYear :
2012
fDate :
10-12 June 2012
Firstpage :
106
Lastpage :
109
Abstract :
Originally supposed to be a communication application, email is now used for a wide range of functions. Nowadays, it is increasingly becoming very difficult for email users to keep track of their email messages and to organize them such that can be retrieved easily, changed, and managed. Email tools, however have not progressed correspondingly to support users with information management based on users´ need. These tools do not understand the information they contain, so they are unable to help user manage it. The goal of this research is to provide a better intelligent email manager that can help to understand, manage, organize and use the overwhelming amount of information received and stored to capture the semantic content relations and also to build intelligent tools to assist with the management of the semantic relations.
Keywords :
electronic mail; learning (artificial intelligence); email management; email tools; email users; information management; intelligent email manager; machine learning approach; semantic content relations; Electronic mail; Humans; Machine learning; Postal services; Semantics; Visualization; Intelligent email manager; Intelligent tools; email; email management; email messages; semantic conten; semantic relations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Security (WorldCIS), 2012 World Congress on
Conference_Location :
Guelph, ON
Print_ISBN :
978-1-4673-1108-3
Type :
conf
Filename :
6280208
Link To Document :
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