Learning to search user experience designs based on structural similarity
US11704559B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 17, 2020 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Aug 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are disclosed for learning structural similarity of user experience (UX) designs using machine learning. In particular, in one or more embodiments, the disclosed systems and methods comprise generating a representation of a layout of a graphical user interface (GUI), the layout including a plurality of control components, each control component including a control type, geometric features, and relationship features to at least one other control component, generating a search embedding for the representation of the layout using a neural network, and querying a repository of layouts in embedding space using the search embedding to obtain a plurality of layouts based on similarity to the layout of the GUI in the embedding space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.