Adaptive e-procurement find assistant using algorithmic intelligence and organic knowledge capture
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United States of America Patent
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Jan 29, 2013
Grant Date -
Apr 9, 2009
app pub date -
Dec 22, 2007
filing date -
Dec 22, 2006
priority date (Note) -
Expired
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Abstract
The present invention is a real-time intelligent find-assistant that suggests useful search terms to a buyer shopping an electronic catalog, as they progress in their online journey to find a particular item for potential purchase. In contrast to current approaches, the present invention uses an adaptive algorithm to extract and rank-order possible search terms from candidate vendor catalog pages, based upon a measure of relevance, or utility, derived from the proximity of possible non-generic terms in the vendor catalog to the terms already selected by the user in their current search. Also in contrast to current approaches, the invention captures and stores buyers' entire history of choices over time (even years), and uses this knowledge to make increasingly useful suggestions to a buyer as to what item descriptions to look for, as they progress through their search, thus allowing an organization to leverage expert purchasing behaviors for use by novice buyers.
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