RECSYS IN HR 2023
The 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023)

Table of Contents

• Summary: There were 15 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 6 as regular papers and 4 as short papers.

• Career Path Prediction using Resume Representation Learning and Skill-based Matching
  Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester
• Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach
  Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
• Counterfactual Representations for Intersectional Fair Ranking in Recruitment
  Clara Rus, Maarten de Rijke, Andrew Yates
• Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules
  Jarno Vrolijk, David Graus
• Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants
  Yuxin Luo, Feng Lu, Vaishali Pal, David Graus
• FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
  Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
• Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning
  Deepak Kumar, Tessa Grosz, Elisabeth Greif, Navid Rekabsaz, Markus Schedl
• Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers
  Benjamin Clavié, Guillaume Soulié
• Tackling Cold Start for Job Recommendation with Heterogeneous Graphs
  Eric Behar, Julien Romero, Amel Bouzeghoub, Katarzyna Wegrzyn-Wolska
• Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study
  Federico Retyk, Hermenegildo Fabregat, Juan Aizpuru, Mariana Taglio, Rabih Zbib