Abstract
One of the key activities in any Human Resources organization is recruiting the best professionals for the teams
they support.
One of the issues faced is the apparent unpredictability of the timings during the recruitment process, in other
words the number of days it will take to have a new professional working after the moment the vacancy is
generated. This leads to difficulties in accurately planning the budgets, workforce and time distribution, and
resources allocation.
To give more clarity on this process and allow a better business planning, we have developed an algorithm that
based on a set of features of the vacancy will help the hiring manager or HR professional predict with improved
accuracy when a vacancy will be filled.
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Recommended Citation
INC, HP, "REQUISITION TIME TO CLOSE PREDICTOR BASED ON HISTORICAL DATA USING SVM", Technical Disclosure Commons, (April 02, 2019)
https://www.tdcommons.org/dpubs_series/2106