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can be scanned for further similar documents. Furthermore, the distribution of
keyword search results can be visualized by coloring the grid cells of the map
with respect to the number of hits. This allows a user to judge e.g. whether the
search results are assigned to a small number of (neighboring) grid cells of the
map, or whether the search hits are spread widely over the map and thus the
search was – most likely – too unspeciﬁc.
A ﬁrst application of self-organizing maps in information retrieval was presented in Lin et al. (1991). It provided a simple two-dimensional cluster representation (categorization) of a small document collection. A reﬁned model,
the WEBSOM approach, extended this idea to a web based interface applied to
newsgroup data that provides simple zooming techniques and coloring methods
(Honkela et al. 1996; Honkela 1997; Kohonen et al. 2000). Further extensions
introduced hierarchies (Merkl 1998), supported the visualization of search
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This note was uploaded on 06/19/2011 for the course IT 2258 taught by Professor Aymenali during the Summer '11 term at Abu Dhabi University.
- Summer '11