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:
Aug. 19, 2014

Filed:

Apr. 11, 2008
Applicants:

Vladimir Tankovich, Bellevue, WA (US);

Hang LI, Beijing, CN;

Dmitriy Meyerzon, Bellevue, WA (US);

Jun Xu, Beijing, CN;

Inventors:

Vladimir Tankovich, Bellevue, WA (US);

Hang Li, Beijing, CN;

Dmitriy Meyerzon, Bellevue, WA (US);

Jun Xu, Beijing, CN;

Assignee:

Microsoft Corporation, Redmond, WA (US);

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

Architecture for extracting document information from documents received as search results based on a query string, and computing an edit distance between the data string and the query string. The edit distance is employed in determining relevance of the document as part of result ranking by detecting near-matches of a whole query or part of the query. The edit distance evaluates how close the query string is to a given data stream that includes document information such as TAUC (title, anchor text, URL, clicks) information, etc. The architecture includes the index-time splitting of compound terms in the URL to allow the more effective discovery of query terms. Additionally, index-time filtering of anchor text is utilized to find the top N anchors of one or more of the document results. The TAUC information can be input to a neural network (e.g., 2-layer) to improve relevance metrics for ranking the search results.


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