Modeling user knowledge from queries: introducing a metric for knowledge

  • Authors:
  • Frans Van Der Sluis;Egon L. Van Den Broek

  • Affiliations:
  • Department of Human Media Interaction, University of Twente, Enschede, The Netherlands;Department of Human Media Interaction, University of Twente, Enschede, The Netherlands

  • Venue:
  • AMT'10 Proceedings of the 6th international conference on Active media technology
  • Year:
  • 2010

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Abstract

The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.