The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Mar. 25, 2014
Filed:
Dec. 30, 2009
Chris J. Burges, Bellevue, WA (US);
Denyong Zhou, Redmond, WA (US);
Xiao LI, Bellevue, WA (US);
Yan KE, Redmond, WA (US);
Tao Tao, Bellevue, WA (US);
Xiaodong Fan, Sammamish, WA (US);
Chris J. Burges, Bellevue, WA (US);
Denyong Zhou, Redmond, WA (US);
Xiao Li, Bellevue, WA (US);
Yan Ke, Redmond, WA (US);
Tao Tao, Bellevue, WA (US);
Xiaodong Fan, Sammamish, WA (US);
Microsoft Corporation, Redmond, WA (US);
Abstract
Techniques for index building are described. Clickcounts of respective training URLs may indicate a number of times that corresponding training URLs were clicked in search engine results. A machine learning algorithm implemented on a computer computes a trained model that is then stored. The clickcounts and respective URLs are passed to the machine learning algorithm to train the model to predict probabilities based on feature vectors of URLs. An index of web pages is built for a set of URLs that identify the web pages. Feature vectors for the URLs are computed. Probabilities of the web pages of the URLs being searched in the future by users may be computed by processing the feature vectors with the trained model. The probabilities may be used to determine which of the URLs to include in the index.