Learning-based image webpage index selection
US9070046B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 17, 2012 |
| Grant date | Jun 30, 2015 |
| Priority date | — |
| Expiry date | Jun 25, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2193
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Architecture that performs image page index selection. A learning-based framework learns a statistical model based on the hyperlink (URL-uniform resource locator) previous click information obtained from the image search users. The learned model can combine the features of a newly discovered URL to predict the possibility of the newly-discovered URL being clicked in the future image search. In addition to existing web index selection features, image clicks are added as features, and the image clicks are aggregated over different URL segments, as well as the site modeling pattern trees to reduce the sparse problem of the image click information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.