Applying machine learning algorithms for email management

Taiwo Ayodele*, Shikun Zhou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the design and implementation of a new system to predict whether email received require a reply, group emails and summarize email messages. The system uses not only subjects and headers fields but also content of email messages to classify emails based on users' activities and generate summaries of each incoming message with unsupervised learning approach. Our framework tackles the problem of email overload, congestion, difficulties in prioritizing and difficulties in finding previously archived messages in the mail box.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Pervasive Computing and Applications, ICPCA 2008
PublisherIEEE
Pages339-344
Number of pages6
ISBN (Print)9781424420209
DOIs
Publication statusPublished - 13 Feb 2009
Event2008 3rd International Conference on Pervasive Computing and Applications - Alexandria, Egypt
Duration: 6 Oct 20088 Oct 2008

Conference

Conference2008 3rd International Conference on Pervasive Computing and Applications
Abbreviated titleICPCA08
Country/TerritoryEgypt
CityAlexandria
Period6/10/088/10/08

Keywords

  • Email grouping
  • Emails
  • Reply prediction
  • Summarization
  • Unsupervised learning

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