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CAFE: towards a conceptual model for information management in electronic mail
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
1997 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

Managing information in the form of text is the main concern of this thesis. In particular,we investigate text that is daily made available through the increasing use of e-mail. Wedescribe the design and implementation of a conceptual model,CAFE (CategorizationAssistant For E-mail). We also present the results of a case study and a survey that moti-vate the model.

The case study studies the effect of the computer screen on people’s structural build-up ofcategories for e-mail messages. Three different representations of categories are used:desktop, tree, and mind map. Cognitive science theories have served as an inspiration andmotivation for the study. The survey presents a selection of currently available e-mail cli-ents and the state-of-the-art and trends in e-mail management.

Our conceptual model provides support for organization, searching, and retrieval of infor-mation in e-mail. Three working modes are available for satisfying the user’s variousneeds in different situations: the Busy mode for intermittent usage at times of high stress,the Cool mode for continuous usage at the computer, and the Curious mode for sporadicusage when exploring and (re-)organizing messages when more time is at hand.

A prototype implementation has been developed. Each mode required using a different in-formation retrieval and filtering technique. Busy uses the text-based Naive Bayesian ma-chine learning algorithm, Cool uses common e-mail filtering rules, and Curious uses acombination of clustering techniques known asSCATTER/GATHER. Preliminary tests of theprototype have proved to be promising.

Place, publisher, year, edition, pages
Linköping: Univ. , 1997. , p. 191
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 640
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-164271Local ID: LiU-TEK-LIC-1997:41ISBN: 9172190159 (print)OAI: oai:DiVA.org:liu-164271DiVA, id: diva2:1414500
Available from: 2020-03-13 Created: 2020-03-13 Last updated: 2020-03-13Bibliographically approved

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Takkinen, Juha

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf