SYSTEM AND METHOD FOR MULTI-MODAL TRANSFORMER-BASED CATAGORIZATION

A transformer categorization architecture is applied to image and text data sets to determine a taxonomy for items in a large database of products. Aggregating recommendations from a multi-modal categorization process achieves a more accurate product classification with potentially less training. Th...

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Bibliographic Details
Main Authors MIYAKE, Hirokazu, CHEN, Lei, CHOU, Hou Wei, XIA, Yandi
Format Patent
LanguageEnglish
French
German
Published 08.02.2023
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A transformer categorization architecture is applied to image and text data sets to determine a taxonomy for items in a large database of products. Aggregating recommendations from a multi-modal categorization process achieves a more accurate product classification with potentially less training. The system is implemented to support an e-commerce portal and user facilitated access to products for online purchases.
Bibliography:Application Number: EP20220178922