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Using interdocument similarity information in document retrieval systems

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  • Alan Griffiths
  • H. Claire Luckhurst
  • Peter Willett

Abstract

The first part of this paper reports a comparative study of the document classifications produced by the use of the single linkage, complete linkage, group average, and Ward clustering methods. Studies of cluster membership and of the effectiveness of cluster searches support previous findings that suggest that the single linkage classifications are rather different from those produced by the other three methods. These latter methods all produce large numbers of small clusters containing just pairs of documents. This finding motivates the work reported in the second part of the paper, which considers the use of clusters consisting of a document together with that document with which it is most similar. A comparison of the use of such clusters with conventional best match searches using seven document test collections suggests that the two types of search are of comparable effectiveness, but they retrieve noticeably different sets of relevant documents. © 1986 John Wiley & Sons, Inc.

Suggested Citation

  • Alan Griffiths & H. Claire Luckhurst & Peter Willett, 1986. "Using interdocument similarity information in document retrieval systems," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(1), pages 3-11, January.
    • Handle: RePEc:bla:jamest:v:37:y:1986:i:1:p:3-11
    DOI: 10.1002/(SICI)1097-4571(198601)37:13.0.CO;2-O
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