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.

Date of Patent:
Jun. 12, 2012

Filed:

Dec. 18, 2008
Applicants:

Cail Pearce, San Francisco, CA (US);

Peter Dolan, San Francisco, CA (US);

Owen Carlsen, San Francisco, CA (US);

Kirill Buryak, Sunnyvale, CA (US);

Rob Christy, Sunnyvale, CA (US);

Inventors:

Cail Pearce, San Francisco, CA (US);

Peter Dolan, San Francisco, CA (US);

Owen Carlsen, San Francisco, CA (US);

Kirill Buryak, Sunnyvale, CA (US);

Rob Christy, Sunnyvale, CA (US);

Assignee:

Google Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
Abstract

Embodiments of a system (such as a computer system), a method, and a computer-program product (e.g., software) for use with the computer system are described. These embodiments may be used to provide one or more recommendations to a user based at least in part on monitored user actions while the user interacts with a support document (e.g., a website or a web page) that includes content for multiple support topics, such as help instructions associated with an application or a service. In particular, one or more support topics are associated with the monitored user actions using a supervised-learning model, and these support topics are recommended to the user. This supervised-learning model may be trained on portions of the content accessed by multiple users during multiple sessions. Moreover, in the supervised-learning model, content accessed by one of the users during a given session may be more relevant than content accessed by this user during the multiple sessions.


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