Advanced Analytics for Recruiting: Design and Development of an Intelligent Support System

The thesis presents the development of Power Recruiting, a system designed to support the Human Resources department of the company Advant S.r.l. The system enables the structured extraction of information regarding company needs as expressed by managers, with the goal of automatically generating job postings ready for publication. The technologies and development environment used are illustrated, along with the overall architecture of the solution and the construction process of the application dedicated to extracting corporate information. The thesis then delves into the automatic job posting generation mechanism, leading to the design of the data mart and reporting tools, developed based on already available corporate data derived from a preliminary analysis of received résumés, carried out using machine learning models. The entire solution helps optimize HR department resources, reduce selection times, and improve the efficiency of the recruiting process. Although it represents an initial version, Power Recruiting has already shown promising results and will be subject to future enhancements and functional improvements.

Publication Details

Journal
Electronic Theses and Dissertations Repository (University of Pisa)
Published
2025-07-13
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Advanced Analytics for Recruiting: Design and Development of an Intelligent Support System

Electronic Theses and Dissertations Repository (University of Pisa)
Geochemistry and Geologic Mapping
article

Advanced Analytics for Recruiting: Design and Development of an Intelligent Support System

article en

Abstract

The thesis presents the development of Power Recruiting, a system designed to support the Human Resources department of the company Advant S.r.l. The system enables the structured extraction of information regarding company needs as expressed by managers, with the goal of automatically generating job postings ready for publication. The technologies and development environment used are illustrated, along with the overall architecture of the solution and the construction process of the application dedicated to extracting corporate information. The thesis then delves into the automatic job posting generation mechanism, leading to the design of the data mart and reporting tools, developed based on already available corporate data derived from a preliminary analysis of received résumés, carried out using machine learning models. The entire solution helps optimize HR department resources, reduce selection times, and improve the efficiency of the recruiting process. Although it represents an initial version, Power Recruiting has already shown promising results and will be subject to future enhancements and functional improvements.

Electronic Theses and Dissertations Repository (University of Pisa)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Geochemistry and Geologic Mapping
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Advanced Analytics for Recruiting: Design and Development of an Intelligent Support System · Electronic Theses and Dissertations Repository (University of Pisa) (2025) | TGRS Research Map | TGRS