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. 23, 2010

Filed:

May. 30, 2007
Applicants:

Keke Chen, Sunnyvale, CA (US);

Ya Zhang, Sunnyvale, CA (US);

Zhaohui Zheng, Sunnyvale, CA (US);

Hongyuan Zha, Norcross, GA (US);

Gordon Sun, Redwood Shores, CA (US);

Inventors:

Keke Chen, Sunnyvale, CA (US);

Ya Zhang, Sunnyvale, CA (US);

Zhaohui Zheng, Sunnyvale, CA (US);

Hongyuan Zha, Norcross, GA (US);

Gordon Sun, Redwood Shores, CA (US);

Assignee:

Yahoo! Inc., Sunnyvale, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

The present invention relates to systems and methods for determining a content item relevance function. The method comprises collecting user preference data at a search provider for storage in a user preference data store and collecting expert-judgment data at the search provider for storage in an expert sample data store. A modeling module trains a base model through the use of the expert-judgment data and tunes the base model through the use of the user preference data to learn a set of one or more tuned models. A measure (B measure) is designed to evaluate the balanced performance of tuned model over expert judgment and user preference. The modeling module generates or selects the content item relevance function from the tuned models with B measure as the selection criterion.


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