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:
Jan. 07, 2020

Filed:

Dec. 19, 2012
Applicant:

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

Inventors:

Nageswara R. Pobbathi, San Jose, CA (US);

Anlei Dong, Fremont, CA (US);

Yi Chang, Sunnyvale, CA (US);

Assignee:

Oath Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/08 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/087 (2013.01);
Abstract

A system and method is described for large-scale, automated classification of products. The system and method receives information about products, wherein such information includes one or more text metadata fields associated with each product, receives a set of categories, and automatically selects one or more categories from the set of categories to which each product belongs based upon at least one of the one or more text metadata fields associated with each product. A machine learning classifier may be used to automatically select the one or more categories to which each product belongs by operating upon a feature vector for each product derived from text metadata fields of the product description. The machine learning classifier may be trained using a set of pre-categorized product descriptions. The product-category associations generated by the system and method can be used to improve search engine results or product recommendations to consumers.


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