Using machine learning to optimize units of measure representations
AssigneeAdobe Inc.
InventorsSoumya UNNIKRISHNAN, Michele SAAD
Life of this patent
Estimating the term…
Abstract
Methods and systems are provided for using machine learning to optimize UoM representations. In embodiments described herein, units of measure (UoMs) and relationships of each of UoMs to textual representations of each of the UoMs are stored in a knowledge graph. Text corresponding to a measurement of a product is extracted by an inference model. A recommended textual representation of the measurement of the product by is determined by an autoencoder model including a corresponding textual representation of one of the UoMs from the textual representations of the one of the UoMs stored in the knowledge graph. The recommended textual representation of the measurement of the product is then displayed.
Claims20
A computer-implemented method comprising:
- storing, in a knowledge graph, a plurality of units of measure (UoMs) and relationships of each of the plurality of UoMs to textual representations of each of the plurality of UoMs;
- extracting, by an inference model, text corresponding to a measurement of a product;
- determining, by an autoencoder model, a recommended textual representation of the measurement of the product, the recommended textual representation comprising a corresponding textual representation of one of the plurality of UoMs from the textual representations of the plurality of UoMs stored in the knowledge graph;
- and
- causing display of the recommended textual representation of the measurement of the product.
One or more computer-readable media having a plurality of executable instructions embodied thereon, which, when executed by one or more processors, cause the one or more processors to perform a method comprising:
- receiving at least a portion of a search query;
- extracting, by an inference model, text corresponding to a measurement in the search query;
- determining, by an autoencoder model, a recommended textual representation of the measurement in the search query, the recommended textual representation comprising a corresponding textual representation of one of a plurality of units of measure (UoMs) stored in a knowledge graph;
- and
- causing display of the recommended textual representation of the measurement.
A computing system comprising:
- a processor;
- and
- a non-transitory computer-readable medium having stored thereon instructions that when executed by the processor, cause the processor to perform operations including:
- receiving a product description of a product;
- extracting, by an inference model, text corresponding to a measurement of the product in the product description;
- determining, by an autoencoder model, a recommended textual representation of the measurement of the product, wherein the recommended textual representation comprises a corresponding textual representation of one of a plurality of units of measure (UoMs) stored in a knowledge graph;
- and
- causing display of the recommended textual representation for the product.
Dependencies are inferred from the claim text.