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      Clustering Information Retrieval Search Outputs

      , ,

      21st Annual BCS-IRSG Colloquium on IR (IRSG)

      IR Research

      19-20 April 1999

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          Abstract

          Users are known to experience difficulties in dealing with information retrieval search outputs, especially if those outputs are above a certain size. It has been argued by several researchers that search output clustering can help users in their interaction with IR systems in some retrieval situations, providing them with an overview of their results by exploiting the topicality information that resides in the output but has not been used at the retrieval stage. This overview might enable them to find relevant documents more easily by focusing on the most promising clusters, or to use the clusters as a starting-point for query refinement or expansion. In this paper, the results of experiments carried out to assess the viability of clustering as a search output presentation method are reported and discussed.

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          Most cited references 7

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          Relevance weighting of search terms

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            Recent trends in hierarchic document clustering: A critical review

             Peter Willett (1988)
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              ON TERM SELECTION FOR QUERY EXPANSION

               S.E Robertson (1990)
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                Author and article information

                Contributors
                Conference
                April 1999
                April 1999
                : 1-9
                Affiliations
                School of Informatics, City University
                Article
                10.14236/ewic/IRSG1999.9
                © Yasemin Kural et al. Published by BCS Learning and Development Ltd. 21st Annual BCS-IRSG Colloquium on IR, Glasgow

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                21st Annual BCS-IRSG Colloquium on IR
                IRSG
                21
                Glasgow
                19-20 April 1999
                Electronic Workshops in Computing (eWiC)
                IR Research
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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