IDENTIFYING PRODUCT REFERENCES IN USER-GENERATED CONTENT

Patent №

US 9,256,593

Granted

2016-02-09

Filed 2012

Owner

WAL-MART STORES, INC.

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13688060

Systems and methods are disclosed herein for extracting products referenced in a document. A document is analyzed to identify a product type that is referenced in the document. Attributes are extracted from the document. A set of candidate products are identified corresponding to the extracted attributes. A score is calculated for the candidate products and the products are further selected or filtered based on the score, whitelist rules, and blacklist rules in order to identify one or more inferred products referenced by the document. The whitelist and blacklist rules may take as inputs a domain, a user identifier, and keywords included in the document. A set of sufficient attributes may be identified for each product type. Selection of a candidate product may be based at least in part on the document including all of the attributes in the set of sufficient attributes.

AI classification

Natural language1.00
Planning1.00
Knowledge representation1.00
Machine learning1.00
AI hardware0.98
Vision0.44
Evolutionary computation0.03
Speech0.00

Ownership

WAL-MART STORES, INC.

assignment · 293680204

Assignors

LAMBA, DIGVIJAY SINGH, CHAI, XIAOYONG, WHISLER, NICOLE

On an employer assignment, the assignors are typically the inventors.

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