On evaluation of adaptive topic tracking systems

  • Authors:

  • Tamer Elsayed;Douglas W. Oard

  • Affiliations:

  • University of Maryland, College Park, MD;University of Maryland, College Park, MD

  • Venue:
  • Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2005

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Abstract

Summative evaluation methods for supervised adaptive topic tracking systems convolve the effect of system decisions on present utility with the effect on future utility. This paper describes a new formative evaluation approach that focuses on future utility for use in the design stage of adaptive systems. Topic model quality is assessed at a predefined set of points using a fixed document set to enhance comparability. Experiments using a vector-space topic tracking system illustrate the utility of this approach to formative evaluation.