Utilizing machine learning models to generate experience driven search results based on digital canvas gesture inputs
US11392659B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 2019 |
| Grant date | Jul 19, 2022 |
| Priority date | — |
| Expiry date | Jun 10, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating target products for a product search based on gesture input received via a digital canvas. For example, the disclosed systems can utilize digital image classification models to generate product sets based on individual visual product features of digital images of products. The disclosed systems can further receive gesture input within a digital canvas indicating visual product features. In addition, the disclosed systems can compare the gesture input of the digital canvas with representative digital images of product sets generated by particular classification models to identify product sets that include the indicated visual product features. Further, the disclosed systems can provide target products from the identified product sets for display via a product search interface website.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.