Attribute-aware outfit recommendation
US12056911B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2021 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Aug 24, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are generally described for performing outfit recommendation using a recurrent neural network. In various examples, a computing device may receive a first state vector representing an outfit comprising at least one fashion item. First image data depicting a second fashion item of a first item category may be received. A machine learning mode may generate a first output feature vector based on the first state vector, the first image data, a first attribute vector, and the first item category. The first output feature vector may be compared to other feature vectors representing other fashion items in the first category to determine distances between the first output feature vector and the other feature vectors. A set of fashion items may be recommended based on the distances between the first output feature vector and the other feature vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.