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. 20, 2017

Filed:

Jun. 05, 2009
Applicants:

Xiao LI, Bellevue, WA (US);

Patrick Nguyen, Kirkland, WA (US);

Geoffrey Zweig, Sammamish, WA (US);

Alejandro Acero, Bellevue, WA (US);

Inventors:

Xiao Li, Bellevue, WA (US);

Patrick Nguyen, Kirkland, WA (US);

Geoffrey Zweig, Sammamish, WA (US);

Alejandro Acero, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G10L 15/26 (2006.01); G06N 99/00 (2010.01);
U.S. Cl.
CPC ...
G06F 17/30991 (2013.01); G06N 99/005 (2013.01); G10L 15/26 (2013.01);
Abstract

A query may be applied against search engines that respectively return a set of search results relating to various items discovered in the searched data sets. However, presenting numerous and varied search results may be difficult on mobile devices with small displays and limited computational resources. Instead, search results may be associated with search domains representing various information types (e.g., contacts, public figures, places, projects, movies, music, and books) and presented by grouping search results with associated query domains, e.g., in a tabbed user interface. The query may be received through an input device associated with a particular input domain, and may be transitioned to the query domain of a particular search engine (e.g., by recognizing phonemes of a voice query using an acoustic model; matching phonemes with query terms according to a pronunciation model; and generating a recognition result according to a vocabulary of an n-gram language model.)


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