Title: Learning search keywords for construction procurement
Authors: Dzeng, RJ
Chang, SY
土木工程學系
Department of Civil Engineering
Keywords: procurement;information search;machine learning;e-commerce
Issue Date: 1-Jan-2005
Abstract: Seeking information from websites has become an essential part of a contractor's procurement undertaking. as more and more procurement websites become available on the Internet, Websites host extremely lame amounts of information: a keyword search, therefore, is often more efficient than browsing via an index. However. in order to find the desired information. it may be necessary to enter keywords using a trial-and-error process. This research recognizes that professional procurement experience can help users search website information more effectively, by using fewer keywords. and so proposes a learning model and suggestion model that can capture such experience. thus guiding inexperienced users in their search. Experiments, evaluating the performance of the system, were also conducted. (C) 2004 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.autcon.2004.06.003
http://hdl.handle.net/11536/25531
ISSN: 0926-5805
DOI: 10.1016/j.autcon.2004.06.003
Journal: AUTOMATION IN CONSTRUCTION
Volume: 14
Issue: 1
Begin Page: 45
End Page: 58
Appears in Collections:Articles


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