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:
Mar. 03, 2015

Filed:

Mar. 11, 2010
Applicants:

Scott K. Imig, Redmond, WA (US);

Johnson T. Apacible, Mercer Island, WA (US);

Aravind Bala, Redmond, WA (US);

Peter R. Bailey, Kirkland, WA (US);

Gayathri Ravichandran Geetha, Bellevue, WA (US);

Robert L. Rounthwaite, Fall City, WA (US);

Hung-chih Yang, Bellevue, WA (US);

Inventors:

Scott K. Imig, Redmond, WA (US);

Johnson T. Apacible, Mercer Island, WA (US);

Aravind Bala, Redmond, WA (US);

Peter R. Bailey, Kirkland, WA (US);

Gayathri Ravichandran Geetha, Bellevue, WA (US);

Robert L. Rounthwaite, Fall City, WA (US);

Hung-chih Yang, Bellevue, WA (US);

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30646 (2013.01); G06F 17/30867 (2013.01);
Abstract

Architecture that automatically detects historical search contexts as well as behaviors related to a search query. Machine learning and hand-authored rules are employed to automatically identify search contexts. Historical information likely to be useful in the current context is surfaced. When a user enters a search query or executes another search behavior, past behaviors are exposed which are contextually related to the current behavior. The architecture also provides automatic discovery of historical contexts, features related to the contexts, and training or authoring of a system for classifying behavior into contexts, using some combination of the machine learning and/or hand-authored rules. A runtime system classifies the current user behavior into a context and surfaces contextual information to the user.


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