HR & Organizational behavior

AI

SEM24

The SEM24 project aims to improve the match between candidates using interdisciplinary knowledge in Natural Language Processing (NLP) and Human Resources Management (HRM).

Main Applicant:

van der Plas, L., IDIAP

Co-applicant(s):

Audrin, B. EHL Hospitality Business School Negro Cusa, J. Arca24.com SA

Start and End Date:

07/07/2023 → 01/07/2025

External Funding:

InnoSuisse

Project Description

The SEM24 project is carried out jointly by EHL Hospitality School, IDIAP and Arca24. It aims to improve the match between candidates using interdisciplinary knowledge in Natural Language Processing (NLP) and Human Resources Management (HRM). 
Given the increase in the number of applications per job offer, companies are finding it increasingly difficult to manage all the CVs they receive. The partner company has developed a semantic engine (SEM) to match candidates to job offers by extracting relevant information from a CV. The SEM24’s ultimate aim is to reduce the risk of timely applications being excluded and also to increase the accuracy of the match between candidates and job offers.

Publication(s)

Vásquez-Rodríguez, L., Audrin, B., Michel, S., Galli, S., Rogenhofer, J., Negro Cusa, J., & Van Der Plas, L. (2025). A Human Perspective to AI-based Candidate Screening. In Proceedings of HICSS 58. https://scholarspace.manoa.hawaii.edu/items/ed27351f-3102-4634-ab75-d17a46e2bd5e Vásquez-Rodríguez, L., Audrin, B., Michel, S., Galli, S., Rogenhofer, J., Negro Cusa, J., & van der Plas, L. (2024). Hardware-effective approaches for skill extraction in job offers and resumes. In Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSysHR 2024). https://recsyshr.aau.dk/wp-content/uploads/2024/10/RecSysHR2024-paper_9.pdf

EHL Researcher Profiles