Model-driven candidate sorting
First Claim
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1. A method comprising:
- selecting a data set of digital evaluation data for model-driven candidate sorting on a digital evaluation platform comprising a server device, wherein the data set comprises candidate data recorded for a plurality of evaluation candidates;
determining, by the processing device, a predictive model by solving a first linear equation using a system identification algorithm with historical digital evaluation cues as a first input to the first linear equation and historical achievement indices as a second input to the first linear equation;
for the plurality of evaluation candidates,analyzing, by the server device, the digital candidate data for the respective evaluation candidate to identify a plurality of digital evaluation cues; and
calculating, by the server device, an achievement index using a second linear equation with the plurality of digital evaluation cues as a first input to the second linear equation and the prediction model as a second input to the second linear equation;
sorting a list of the plurality of evaluation candidates based on the predicted achievement indices; and
presenting the sorted list of the plurality of evaluation candidates in a user interface to a reviewer.
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Abstract
Methods and systems for model-driven candidate sorting for evaluating digital evaluations are described. In one embodiment, a sorting tool selects a data set of digital evaluation data for sorting. The data set includes candidate for evaluation candidates. The sorting tool analyzes the candidate data for the respective evaluation candidate to identify digital evaluation cues and applies the digital evaluation cues to a prediction model to predict an achievement index for the respective evaluation candidate. The list of evaluation candidates is sorted according the predicted achievement indices and the sorted list is presented to the reviewer in a user interface.
33 Citations
20 Claims
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1. A method comprising:
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selecting a data set of digital evaluation data for model-driven candidate sorting on a digital evaluation platform comprising a server device, wherein the data set comprises candidate data recorded for a plurality of evaluation candidates; determining, by the processing device, a predictive model by solving a first linear equation using a system identification algorithm with historical digital evaluation cues as a first input to the first linear equation and historical achievement indices as a second input to the first linear equation; for the plurality of evaluation candidates, analyzing, by the server device, the digital candidate data for the respective evaluation candidate to identify a plurality of digital evaluation cues; and calculating, by the server device, an achievement index using a second linear equation with the plurality of digital evaluation cues as a first input to the second linear equation and the prediction model as a second input to the second linear equation; sorting a list of the plurality of evaluation candidates based on the predicted achievement indices; and presenting the sorted list of the plurality of evaluation candidates in a user interface to a reviewer. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A non-transitory computer readable storage medium including instructions that, when executed by a processing device of a computing system, cause the computing system to perform operations comprising:
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selecting a data set of digital evaluation data for model-driven candidate sorting on a digital evaluation platform comprising a server device, wherein the data set comprises digital candidate data recorded for a plurality of evaluation candidates; determining, by the server device, a predictive model by solving a first linear equation using a system identification algorithm with historical digital evaluation cues as a first input to the first linear equation and historical achievement indices as a second input to the first linear equation; for the plurality of evaluation candidates, analyzing, by the server device, the digital candidate data for the respective evaluation candidate to identify a plurality of digital evaluation cues; and calculating, by the server device, an achievement index using a second linear equation with the plurality of digital evaluation cues as a first input to the second linear equation and the prediction model as a second input to the second linear equation; sorting, by the server device, a list of the plurality of evaluation candidates based on the predicted achievement indices; and presenting, by the server device, the sorted list of the plurality of evaluation candidates in a user interface to a reviewer. - View Dependent Claims (15, 16, 17)
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18. A computing system comprising:
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a data storage device; and a server device of a digital evaluation platform, the server device being coupled to the data storage device, wherein the server device is operable to execute a sorting tool to perform the following; select a data set of digital evaluation data for model-driven candidate sorting on the digital evaluation platform, wherein the data set comprises digital candidate data recorded for a plurality of evaluation candidates; determine a predictive model by solving a first linear equation using a system identification algorithm with historical digital evaluation cues as a first input to the first linear equation and historical achievement indices as a second input to the first linear equation; for the plurality of evaluation candidates, analyze the digital candidate data for the respective evaluation candidate to identify a plurality of digital evaluation cues; and calculate an achievement index using a second linear equation with the plurality of digital evaluation cues as a first input to the second linear equation and the prediction model as a second input to the second linear equation; sort a list of the plurality of evaluation candidates based on the predicted achievement indices; and present the sorted list of the plurality of evaluation candidates to a reviewer in a user interface of the digital evaluation platform. - View Dependent Claims (19, 20)
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Specification