SYSTEMS AND METHODS TO RANK JOB CANDIDATES BASED ON MACHINE LEARNING MODEL
First Claim
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1. A computer-implemented method comprising:
- determining, by a computing system, a training set to train a machine learning model;
determining, by the computing system, a feature set for the model;
training, by the computing system, the model based on the training set and the feature set to determine a score reflecting a probability that each user in an evaluation set of users is qualified for employment with an organization; and
providing, by the computing system, a ranking of users in the evaluation set based on the score determined for each user.
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Abstract
Systems, methods, and non-transitory computer readable media are configured to determine a training set to train a machine learning model. A feature set for the model is determined. The model is trained based on the training set and the feature set to determine a score reflecting a probability that each user in an evaluation set of users is qualified for employment with an organization. A ranking of users in the evaluation set is provided based on the score determined for each user.
18 Citations
20 Claims
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1. A computer-implemented method comprising:
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determining, by a computing system, a training set to train a machine learning model; determining, by the computing system, a feature set for the model; training, by the computing system, the model based on the training set and the feature set to determine a score reflecting a probability that each user in an evaluation set of users is qualified for employment with an organization; and providing, by the computing system, a ranking of users in the evaluation set based on the score determined for each user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system comprising:
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at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the system to perform; determining a feature set for the model; training the model based on the training set and the feature set to determine a score reflecting a probability that each user in an evaluation set of users is qualified for employment with an organization; and providing a ranking of users in the evaluation set based on the score determined for each user. - View Dependent Claims (12, 13, 14, 15)
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16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:
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determining a feature set for the model; training the model based on the training set and the feature set to determine a score reflecting a probability that each user in an evaluation set of users is qualified for employment with an organization; and providing a ranking of users in the evaluation set based on the score determined for each user. - View Dependent Claims (17, 18, 19, 20)
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Specification