Supporting Situated Actions in High Volume Conversational Data Situations

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. Keywords Situated cognition, situated actions, Usenet news, information filtering INTRODUCTION The huge and increasing amount of information available in the information age suggests to investigate new ways to support humans in gathering information that might be interesting, helpful, or necessary for them. Since the overall amount of informat..