Email urgency reply prediction

Taiwo Ayodele*, Charles A. Shoniregun, Shikun Zhou

*Corresponding author for this work

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

Abstract

The email urgency reply prediction (EURP) is a way of handling, and determining em ails that require imperative reply with respect to time. Over the past few years, email has become the preferred medium of communication for many businesses and individuals. As a growing portion of our lives is captured over email exchanges, the phenomenon of the overcrowded and unmanaged inbox is becoming an increasingly serious impediment to communications and productivity. This research work focuses on the broader goal of providing users with effective applications to determine mails that require urgent replies-the task of urgency reply prediction has a sustainable economic benefits to both private and public sectors.

Original languageEnglish
Title of host publicationInternational Conference on Information Society (i-Society 2011)
PublisherInstitute of Electrical and Electronics Engineers
Pages418-422
Number of pages5
ISBN (Electronic)9780956426383
ISBN (Print)9781612841489, 9780956426383
DOIs
Publication statusPublished - 8 Aug 2011

Keywords

  • email machine learning
  • expectation learning
  • keyword index
  • prediction
  • unsupervised machine learning
  • email urgency reply prediction
  • EURP
  • email handling
  • email determination
  • sustainable economic benefits

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