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Establishing a Taxonomy of Quality for Use in Information Filtering

  • Mikhaila Burgess
  • W. Alex Gray
  • Nick Fiddian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2405)

Abstract

When searching for information within a distributed heterogeneous environment, it is often difficult to ascertain the quality of the obtained results. Sometimes it may be possible to estimate the quality, but as the amount of available information grows this becomes increasingly difficult and time consuming. One possible solution is to develop a method of using quality as a filter to reduce the amount of irrelevant information that is returned by customising it to a user’s requirements, defined in terms of quality characteristics.

Before this can be done the general term’ quality’ must be explicitly defined, and its characteristics identified. This paper therefore discusses our research into creating a domain-independent taxonomy of quality that can be used to assist in information evaluation and filtering within various information retrieval environments.

Keywords

Information Retrieval User Feedback Information Overload Shopping Agent General Taxonomy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Mikhaila Burgess
    • 1
  • W. Alex Gray
    • 1
  • Nick Fiddian
    • 1
  1. 1.Department of Computer ScienceCardiff UniversityUK

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