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Subject: Of interest: Information Clustering / Faceted Categories Techniques and Search
- From: "David RR Webber \(XML\)" <david@drrw.info>
- To: BCM OASIS <bcm@lists.oasis-open.org>
- Date: Thu, 06 Apr 2006 06:06:58 -0700
Clustering Versus Faceted Categories for Information
Exploration
Marti A. Hearst, CACM
Information seekers often express a desire for a user interface
that
organizes search results into meaningful groups, in order to
help make
sense of the results, and to help decide what to do next.
Currently,
two methods are quite popular: clustering and faceted
categorization.
Here, I describe both approaches and summarize their
advantages and
disadvantages based on the results of usability
studies. Clustering
refers to the grouping of items according to
some measure of similarity.
In document clustering, similarity is
typically words and phrases.
Hierarchical Faceted Categories
provides a set of meaningful labels
organized in such a way as to
reflect the concepts relevant to a domain.
They are usually created
manually, although assignment of documents to
categories can be
automated to a certain degree of accuracy. The main
idea is quite
simple. Rather than creating one large category hierarchy,
build a
set of category hierarchies each of which corresponds to a
different
facet (dimension or feature type) relevant to the
collection to be
navigated.
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