Artificial Neural Network system applied to Human Resource Management
Tutor / director / evaluatorAngulo Bahón, Cecilio
Document typeBachelor thesis
Rights accessOpen Access
In this project we study how Artificial Neural Network can be applied to Human Resources by supporting users from XING, a career-oriented social network, to find the desired job, and also recruiters that use this resource to find the best candidate for a given job. Specially, an ANN is created, using NN Toolbox in Matlab, with the purpose of predicting those users that given an specific job offer are likely to interact by performing a bookmark or reply on the job post recommended. The sample used contains 714.800 user-item pairs with 19 inputs that give information about the users and the job posts and 1 output that determines wether the user has positively interact with the job offer or not. The ANN created is a two layer feed-forward network that uses Levenberg-Marquardt backpropagation algorithm and with the correct number of neurons on the hidden layer does a good prediction. Further research can be done to improve Human Resource Management using data mining.