Title :
Scalable Client Features to Handle High Volume E-mail
Author :
Raghunandan, H.P.
Author_Institution :
Inter-Disciplinary Sch. of Sci. Comput., Pune Univ., Pune, India
Abstract :
As e-mail usage increases and its volume and size becomes unpredictable, there is a dire need to have richer email clients with increased ease of use. Ease of use continues to be the most significant success factor in e-mail usage. In this paper we introduce scalable features that primarily address ease of use when e-mail volume increases unprecedentedly. One feature relates to graphical e-mail content analyser and prioritizer in an e-mail system where the user can define search parameters with values and corresponding graphical images, for identifying, grouping and/or prioritizing received e-mail messages. Another feature includes a hierarchical email classification system where the user can define parameters for classifying received e-mail messages based on values like sender, e-mail id, domain, subject etc. Another feature generates a reply template by intelligent analyses of the email archive.
Keywords :
electronic mail; knowledge based systems; pattern classification; electronic mail; email content prioritizer; email usage; graphical e-mail content analyser; hierarchical email classification system; reply template; scalable client features; Educational institutions; Electronic mail; Embedded computing; Extrapolation; Fatigue; Graphics; Humans; Image analysis; Scientific computing; Statistics; Hierarchical E-mail; IMAP; Knowledge Base; MIME; POP; Reply Template Generation;
Conference_Titel :
Scalable Computing and Communications; Eighth International Conference on Embedded Computing, 2009. SCALCOM-EMBEDDEDCOM'09. International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-3825-9
DOI :
10.1109/EmbeddedCom-ScalCom.2009.59