Abstract: The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query, and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.
Type:
Grant
Filed:
March 17, 2006
Date of Patent:
May 22, 2012
Assignee:
Search Engine Technologies, LLC
Inventors:
Yunshan Lu, Gordon P. Rios, Michael Tanne