Artificial Intelligence Lab, Department of MIS, University of Arizona / This article reports findings of empirical research that investigated information searchers online query refinement
process. Prior studies have recognized the information specialists' role in helping searchers articulate and refine queries. Using a semantic network and a Problem Behavior Graph to represent the online search
our study revealed that searchers also refined their own queries in an online task environment. The
information retrieval system played a passive role in assisting online query refinement, which was, however, one
that confirmed Taylor's four-level query formulation model. Based on our empirical findings, we proposed using
process model to facilitate and improve query refinement in an online environment. We believe incorporating
this model into retrieval systems can result in the design of more "intelligent" and useful information retrieval systems.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105597 |
| Date | January 1990 |
| Creators | Chen, Hsinchun, Dhar, Vasant |
| Publisher | ACM |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Conference Paper |
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