Scalable response prediction using personalized recommendation models
US10102503B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 3, 2016 |
| Grant date | Oct 16, 2018 |
| Priority date | — |
| Expiry date | May 12, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/24578
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed embodiments provide a system for processing data. During operation, the system obtains a global version of a statistical model and a user-specific version of the statistical model for a user. Next, the system applies the global version to member features of the user and job features of a set of jobs to generate a first ranking of the jobs for the user. The system then applies the user-specific version to the member features and the job features for a highest-ranked subset of jobs in the first ranking to generate a second ranking of the jobs for the user. Finally, the system outputs at least a portion of the second ranking as a set of job recommendations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.