Model-driven candidate sorting
US9009045B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 18, 2014 |
| Grant date | Apr 14, 2015 |
| Priority date | — |
| Expiry date | Feb 18, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for model-driven candidate sorting for evaluating digital interviews are described. In one embodiment, a model-driven candidate-sorting tool selects a data set of digital interview data for sorting. The data set includes candidate for interviewing candidates (also referred to herein as interviewees). The model-driven candidate-sorting tool analyzes the candidate data for the respective interviewing candidate to identify digital interviewing cues and applies the digital interview cues to a prediction model to predict an achievement index for the respective interviewing candidate. This is performed without reviewer input at the model-driven candidate-sorting tool. The list of interview candidates is sorted according the predicted achievement indices and the sorted list is presented to the reviewer in a user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.