A classifier using a logistic regression technique permits previously
acquired search results to be used to perform a new search. A user inputs
search terms and queries a database of previous search results. A
logistical regression calculation is performed using sets of data such
that the time execution performance is at least a factor of 10
improvement over a conventional technique. In our experiments where real
world data was used, the execution time was reduced up to 353 times as
compared to the conventional technique. The Iteratively Reweighted Least
Squares (IRLS) method is used for the logistical regression method and
beta vector values are calculated from the database data set. A vector of
the user input terms is multiplied by the beta vector values to produce
an ordered list of documents satisfying the user search terms.