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Viewing report
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An Adaptive Temperament-Based Information Filtering
Method. Edition No. 1
VDM Publishing House, April 2009, Pages: 200
One of the main limitations of information filtering
is its inability to specify and support human
factors to satisfy the user. Temperament-based
information filtering model was proposed in our
earlier study as a solution to characterize the
information space by taking human factors,
particularly human temperament, into consideration.
In this study, a prototype system was developed and
demonstrated in two application domains - a document
collection and an art image collection by utilizing
a combination of simulation and user-studies
testing. The results of our experiments indicate
that temperament-based filtering outperforms content-
based filtering in most of the cases. Being
empowered with the knowledge of human temperament,
the management of the conceptual cohesiveness
between the disordered information space presented
by a computing system and the user's recognition of
the real world may be enhanced, and the goal to
better satisfy the user may be achieved.
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