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:
Jul. 21, 2015

Filed:

Sep. 28, 2012
Applicant:

Wal-mart Stores, Inc., Bentonville, AR (US);

Inventors:

Digvijay Singh Lamba, Sunnyvale, CA (US);

Xiaoyong Chai, Mountain View, CA (US);

Assignee:

Wal-Mart Stores, Inc., Bentonville, AR (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 17/27 (2006.01);
U.S. Cl.
CPC ...
G06F 17/2785 (2013.01); G06F 17/277 (2013.01); G06F 17/2795 (2013.01); G06F 17/30654 (2013.01); G06F 17/30734 (2013.01);
Abstract

Disclosed are methods for returning to a user an answer to the question 'what is <string>.' Concepts and classes to which the concepts belong are determined from a corpus, such as taxonomy. The concepts are mapped to categories according to the structure of the taxonomy. Homonyms for words are collected and scored according to likeliness of use. Concept vectors are assembled for the identified concepts based on articles in the corpus and social media usage. Words are evaluated for generic-ness and a generic score is associated therewith. In responding to a query, the generic-ness of the terms of the query is evaluated and additional context solicited if the terms are generic. Candidate homonym concepts for a string in the query are selected according to context vectors for the homonym concepts. One or more homonym concepts are selected and the one or more categories corresponding to these concepts are returned.


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