Systems and methods for utilizing a convolutional neural network architecture for visual product recommendations
US10275820B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 31, 2017 |
| Grant date | Apr 30, 2019 |
| Priority date | — |
| Expiry date | Apr 21, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of accessing an online catalog for an online retailer comprising a plurality of digital images of a plurality of items for sale by the online retailer, training a two-branch a Siamese convolutional neural network (CNN) model to determine a similarity between two digital images of the plurality of digital images, receiving one or more digital images of a new item for the online catalog, determining, using the two-branch Siamese CNN model and the one or more digital images of the new item, a similar item of the plurality of items to which the new item is most similar, and coordinating a display of the new item on a webpage based on a ranking of the similar item.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.