AI Use Case

Analyse and suggest improvements for CVs and resumes

When job seeking there is difficulty in reflecting on and improving a CV after having worked on it for a lot of time: candidates can use technology to do that for them before they apply for jobs. The technology will have been trained on successful CVs and resumes to identify how the content has been articulated. Therefore, such a system can compare the input with its database and identify areas for improvement. Increasingly this is effectively about reverse engineering recruitment algorithms.

Function

Human Resources

Recruitment

Benefits

Revenue - New service,Revenue - Higher response rates

Case Studies

CV Compiler~CV Compiler analyses technical resumes and recommends improvements using machine learning,Monster~Monster achieves 20% increase in job applications worldwide with machine learning

Industry

Data Sets

Text

AI Technologies

Machine Learning (ML),ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Annotation,Algorithm - AdaBoost (Adaptive Boosting),ML Task - Prediction - Binary Classification

Potential Vendors

CV Complier