Invention Grant
- Patent Title: Systems and methods to rank job candidates based on machine learning model
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Application No.: US14987648Application Date: 2016-01-04
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Publication No.: US10685291B2Publication Date: 2020-06-16
- Inventor: Miaoqing Fang
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Sheppard Mullin Richter & Hampton LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06Q10/10 ; G06F16/2455 ; G06F16/2457

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.
Public/Granted literature
- US20170193394A1 SYSTEMS AND METHODS TO RANK JOB CANDIDATES BASED ON MACHINE LEARNING MODEL Public/Granted day:2017-07-06
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