Three pillars for congenial web searching: continuous evaluation for enhancing web search effectiveness

  • Authors:
  • Melanie Gnasa;Markus Won;Armin B. Cremers

  • Affiliations:
  • Institute of Computer Science III, University of Bonn, Bonn, Germany;Institute of Computer Science III, University of Bonn, Bonn, Germany;Institute of Computer Science III, University of Bonn, Bonn, Germany

  • Venue:
  • Journal of Web Engineering
  • Year:
  • 2004

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Abstract

In this context of large homogeneous retrieval systems, matrics have been established to evaluate the effectiveness with precision and recall. By contrast, measuring Web search effectiveness is a new challenge due to the heterogeneity of high-dynamic Web content. Currently, users select a Web search engine by their individual preferences, and the evaluation of effectiveness is a subjective measure defined by the user. Since there are different emphases for each single user, those user-defined measures cannot be quantified in global way. Therefore, we propose a new Web search system, where the effectiveness is continuously evaluated by explicit user feedback in terms of a personalized ranking matrix. These local rankings can be evaluated according to different goals. First, accumulation leads to a wider base of ranked and validated results. Second, the aggregated ranking lists can be used to identify topics, as well as communities of interest. Finally, together with social aspects for community support, a framework for Congenial Web Search is defined.