Talk · International Conference on Electronics, Computer and Computation · June 1, 2023

Recommendation System for Human Resource Management by the Use of Apache Spark Cluster

Azamat Serek, Kamila Orynbekova, Assem Talasbek, Darmen Kariboz, Gulnara Saimassay, Andrey Bogdanchikov

Read on dx.doi.orgDOI 10.1109/icecco58239.2023.10147129

Abstract

In this paper, there has been built and tested recommendation systems for recommending new positions for employees on Apache Spark by the use of a cluster of physical servers. The cluster has been built in the university, and the code has been executed both on a cluster, google colab, and a standalone mode. It was shown that the current cluster spends more time on the execution in comparison with colab, but as new servers get added to the cluster and the size of dataset is to increase, the performance will be much faster in comparison with colab. It can be valuable in HR departments which wish to use their own servers for the security purposes.

Recommender Systems and TechniquesCloud Computing and Resource ManagementAI and HR Technologiesrecommender systemshuman resource managementApache Spark

Recommendation System for Human Resource Management by the Use of Apache Spark Cluster

Abstract

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