Abstract
A high precision machine learning model trained to identify brands is described. One or more machine-learned models are trained to create signals for top product categories at the brand/merchant level and brand signals from a custom Brand Ownership Service based on external digital brand signals such as trademark data from the USPTO, the EUIPO, and/or other trademark registries.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Palacios, Roy and Satyan, Pallavi, "Systems and Methods for Machine Learning Brand Identification Models", Technical Disclosure Commons, (September 18, 2022)
https://www.tdcommons.org/dpubs_series/5385
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