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is smaller and the process of information retrieval is
considerably shortened.
5 SUMMARY AND
CONCLUSIONS
To overcome the hardship of effectively handling a
large number of results, we have proposed the TTLS
model that combines several techniques for display
of the results including a ranked taxonomy tree and
an enhanced document snippet. The goal of the
prototype built was to exhibit that the proposed
model does solve the above problem. The prototype
was used to investigate both execution times and
correctness of answers, as well as effectiveness and
ease of use by users. It has been found in the
experimentation that the TTLS model can indeed
serve the users better than the previous models.
In order to increase the effectiveness of the
model, and respond to additional needs of the users,
it is highly recommended to invest in further
improvements, enhancements and investigations of
the model and prototype. Further extensive
experimentation is needed with more participants so
as to accumulate enough results that are amenable to
reaching wider conclusions by use of statistical
tools. Another research direction is the automatic
generation of categories that as of now are manually
associated with the documents. Moreover, the
compatibility between the manual catalog and the
automatic one in utilization of extant algorithms for
document cataloging in given contents worlds can be
investigated.
To summarize, the proposed method of ranking
the branches of the taxonomy tree is innovative. This
is in addition to other parts of the user interface that
have been proposed before, each on its own, such as
the display of taxonomy tree, display of facets, or
display of snippets based on the LCC&K model. The
integrated display of these components in the TTLS
model, and the evaluation process with real users,
constitute the contribution, presented in this paper,
to the information retrieval field.
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TTLS: A GROUPED DISPLAY OF SEARCH RESULTS BASED ON ORGANIZATIONAL TAXONOMY USING THE
LCC&K INTERFACE
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