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      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1997 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1997 Working Papers
      • View Item
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      Applications of machine learning in information retrieval

      Cunningham, Sally Jo; Littin, James; Witten, Ian H.
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      Cunningham, S.J., Littin, J. & Witten, I.H. (1997). Applications of machine learning in information retrieval. (Working paper 97/06). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/1069
      Abstract
      Information retrieval systems provide access to collections of thousands, or millions, of documents, from which, by providing an appropriate description, users can recover any one. Typically, users iteratively refine the descriptions they provide to satisfy their needs, and retrieval systems can utilize user feedback on selected documents to indicate the accuracy of the description at any stage. The style of description required from the user, and the way it is employed to search the document database, are consequences of the indexing method used for the collection. The index may take different forms, from storing keywords with links to individual documents, to clustering documents under related topics.
      Date
      1997-02
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      97/06
      Publisher
      Department of Computer Science, University of Waik
      Collections
      • 1997 Working Papers [31]
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