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.:

US 8326785 B1

PDF
Full Text
Expired
Date of Patent:
Dec. 04, 2012

Filed:

Sep. 30, 2008
Applicants:

Cheng Niu, Redmond, WA (US);

Ming Zhou, Beijing, CN;

Hsiao-wuen Hon, Bellevue, WA (US);

Inventors:

Cheng Niu, Redmond, WA (US);

Ming Zhou, Beijing, CN;

Hsiao-Wuen Hon, Bellevue, WA (US);

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01); G06F 17/20 (2006.01); G06F 7/00 (2006.01); G06F 17/30 (2006.01); G06N 5/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A classifier is built to rank documents of different languages found in a query based at least in part on similarity to other documents and the relevance of those other documents to the query. A joint ranking model, e.g., based upon a Boltzmann machine, is used to represent the content similarity among documents, and to help determine joint relevance probability for a set of documents. The relevant documents of one language are thus leveraged to improve the relevance estimation for documents of different languages. In one aspect, a hidden layer of units (neurons) represents clusters (corresponding to relevant topics) among the retrieved documents, with an output layer representing the relevant documents and their features, and edges representing a relationship between clusters and documents.


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