Compatibility based furniture recommendations
US11574353B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 24, 2020 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Mar 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Examples disclosed herein are relevant to systems, methods, and other technology for determining furniture compatibility. For example, graph neural networks (GNNs) that leverage relational information between furniture items in a set may be used as models to predict a compatibility score indicative of visual compatibility of furniture items across the set. In one implementation, the GNN-based model can extend the concept of a siamese network to multiple inputs and branches and use a generalized contrastive loss function. In another implementation, the GNN-based model learns both an edge function and the function that generates the compatibility score. The predicted compatibility score can be used for a variety of purposes, including furniture item recommendations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.