Adaptively learning a similarity model
US9082086B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2011 |
| Grant date | Jul 14, 2015 |
| Priority date | — |
| Expiry date | Jun 5, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, system, and computer-readable storage medium for computing a representation of similarity among items in a set of items. Computing a representation of similarity items may comprise generating a first similarity model that represents characteristics of the set of items, the characteristics being indicative of similarity among the items in the set of items. Additionally, computing the representation of similarity may comprise adaptively selecting a subset of the set of items for similarity evaluation based on the first similarity model, receiving a similarity evaluation for the adaptively-selected subset of items, and generating a second similarity model based on the first to similarity model and the received similarity evaluation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.