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

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