Blending learning models for search support
US11113289B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2017 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Jul 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus of a device that generates a re-ranking model used to re-rank a plurality of search results on a client device is described. In an exemplary embodiment, the device receives a crowd-sourced intra-domain model from a server, where the intra-domain model is a search result re-ranking model generated based on at least device interactions of a plurality of users interacting with a plurality of other devices. The device further generates a re-ranking model from the crowd-sourced intra-domain model and a local model, where the local model includes private data representing a device user's interaction with that device and the re-ranking model is used to re-rank a plurality of search results.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.