| Vol-3788 urn:nbn:de:0074-3788-5 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# RECSYS-in-HR 2024
Recommender Systems for Human Resources 2024

### Proceedings of the 4th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2024)
co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024)

### Bari, Italy, 14th-18th October 2024.

Edited by

### Mesut Kaya *
Toine Bogers **
David Graus ***
Chris Johnson ****
Jens-Joris Decorte *****
Tijl De Bie ******

* Jobindex A/S, Jobindex, Copenhagen, Denmark
** IT University of Copenhagen, Computer Science Department, Copenhagen, Denmark
*** Randstad, Randstad NV, Diemen, The Netherlands
**** Indeed, Indeed, USA
***** TechWolf, TechWolf, Ghent, Belgium
****** Ghent University, Ghent University, Ghent, Belgium

## Table of Contents

- Summary: There were 17 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 9 as regular papers. 1 as short paper.

- A Dynamic Jobs-Skills Knowledge Graph
  Alejandro Seif, Sarah Toh, Hwee Kuan Lee
- MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations
  Federico Retyk, Luis Gascó, Casimiro Pio Carrino, Daniel Deniz, Rabih Zbib
- Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation
  Daniel Deniz, Federico Retyk, Laura García-Sardiña, Hermenegildo Fabregat, Luis Gasco, Rabih Zbib
- Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems
  Kento Nakada, Kazuki Kawamura, Ryosuke Furukawa
- Enhancing Reliability in Recommendation Systems: Beyond point estimations to monitor population stability
  Yingshi Chen, Mohit Jain, Vaibhav Sawhney, Liyasi Wu
- Pseudo-online Measurement of Retrieval Recall for Job Recommendations - A case study at Indeed (short paper)
  Liyasi Wu, Yi Wei Pang, Warren Cai
- Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations
  Roan Schellingerhout, Francesco Barile, Nava Tintarev
- Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval
  Warren Jouanneau, Marc Palyart, Emma Jouffroy
- Hardware-effective Approaches for Skill Extraction in Job Offers and Resumes
  Laura Vásquez-Rodríguez, Bertrand Audrin, Samuel Michel, Samuele Galli, Julneth Rogenhofer, Jacopo Negro Cusa, Lonneke van der Plas
- On the Biased Assessment of Expert Finding Systems
  Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester

2024-10-10: submitted by Mesut Kaya, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|