Supporting situated actions in high volume conversational data situations

Research output: Contribution to conferencePaperpeer-review

Abstract

The global conferencing system Usenet news offers an amount of articles per day that exceeds human cognitive capabilities by far although the articles are already organized in hierarchically structured discussion groups covering distinct topics. We report here on a situated information filtering system that significantly reduces the burden by supporting the user in acting situated. Interpreting the user's actions as situated actions, the approach complements current filtering and recommender approaches by completely avoiding the modeling of user interests; the user is the only instance for assigning (un-)interestingness to Usenet discussions.

Original languageEnglish (US)
Pages472-479
Number of pages8
DOIs
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 Conference on Human Factors in Computing Systems, CHI - Los Angeles, CA, USA
Duration: Apr 18 1998Apr 23 1998

Conference

ConferenceProceedings of the 1998 Conference on Human Factors in Computing Systems, CHI
CityLos Angeles, CA, USA
Period4/18/984/23/98

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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