Adaptive linear information retrieval models

  • Authors:
  • P. Bollmann;S. K. M. Wong

  • Affiliations:
  • Department of Computer Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada;Department of Computer Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada

  • Venue:
  • SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 1987

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Abstract

Missing, non-applicable and imprecise values arise frequently in Office Information Systems. There is a need to treat them in a consistent and useful manner. This paper proposes a method and gives the precise semantics of the retrieval operations in a system where imprecision is allowed. It also suggests a way to handle the uncertainty introduced by imprecise data values.