Region-specific image download probability modeling
US9753949B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 14, 2016 |
| Grant date | Sep 5, 2017 |
| Priority date | — |
| Expiry date | Mar 26, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods for prioritizing a set of images identified as responsive to an image search query from a user based on features of the images identified as relevant to a geographic region of the user are provided. In one aspect, the method includes submitting a plurality of images to a computer-operated convolutional neural network that is configured to analyze image pixel data for each of the plurality of images to identify features, in each of the plurality of images, influencing a download probability of the corresponding image in a plurality of geographic regions. The method also includes receiving, from the neural network and for each of the plurality of images, a download probability of each image for each of the plurality of geographic regions. Systems and machine-readable media are also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.