ATTRIBUTE-BASED DOCUMENT SEARCHING

Patent №

US 9,600,529

Granted

2017-03-21

Filed 2013

Owner

WAL-MART STORES, INC.

AI components

4

nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13828331

Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Tokens of a query are identified. Product records including one or more tokens in values associated with the attributes thereof are identified. A score is generated for attributes of products including a token (an attribute-token score). The attribute-token score is based on a frequency of occurrence of the token in the attribute value and a length of the attribute value in which it occurs. The attribute-token scores for the token are summed to generated a score. The token score for a token may be scaled in a non-linear fashion such that the scaled value approaches a saturation value, which may be an inverse document frequency (IDF) score for the token. The scaled values may then be summed to generate a score for the document that is used to rank the search results.

AI classification

Natural language1.00
Planning0.99
Knowledge representation0.98
AI hardware0.96
Evolutionary computation0.18
Machine learning0.10
Speech0.02
Vision0.01

Ownership

WAL-MART STORES, INC.

assignment · 300020290

Assignors

CHENG, JINXING, GATTANI, ABHISHEK

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

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