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- W1567818131 abstract "This contribution describes clustering of most informative keywords within full-text query results and its visualization in 2D or 3D space using so-called sociomapping. The main goal of the clustering is to help user with orientation in the term space and with the reformulating --- more detail specification --- of ambiguous queries. Test data were obtained from web search engines like Yahoo!, Google etc. To be able to evaluate quality of the used clustering method we have used 2 metrics to compare it with manually classified collection (Reuters Corpus Volume 1), moreover, the quality of preserving mutual distances of clusters from original multi-dimensional space was measured by Spearman's rank correlation coefficient." @default.
- W1567818131 created "2016-06-24" @default.
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- W1567818131 date "2009-01-01" @default.
- W1567818131 modified "2023-09-26" @default.
- W1567818131 title "Sociomapping in Text Retrieval Systems" @default.
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- W1567818131 doi "https://doi.org/10.1007/978-3-642-04957-6_11" @default.
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