Program
The third RecSys in HR workshop will take place on September 19, 2023. The workshop program is as follows (all times are SGT):
| Start | End | |
|---|---|---|
| 09:00 | 09:15 | Opening (chair: Toine Bogers) |
| 09:15 | 10:00 | Keynote 1: Matissa Hollister (chair: Toine Bogers) |
| 10:00 | 10:30 | Paper session 1 (chair: Toine Bogers) |
| 10:00 | 10:15 | FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources (Nan Li, Bo Kang, Jefrey Lijffijt and Tijl De Bie) |
| 10:15 | 10:30 | Counterfactual Representations for Intersectional Fair Ranking in Recruitment (Clara Rus, Maarten de Rijke and Andrew Yates) |
| 10:30 | 11:15 | ☕️ Coffee break |
| 11:15 | 12:15 | Panel (chair: David Graus) |
| 12:15 | 12:35 | Audience/panel discussion (chair: David Graus) |
| 12:35 | 14:00 | 🍽 Lunch |
| 14:00 | 14:45 | Keynote 2: Madhu Kurup (chair: Chris Johnson) |
| 14:45 | 15:30 | Paper session 2 (chair: Chris Johnson) |
| 14:45 | 15:00 | Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules (Jarno Vrolijk and David Graus) |
| 15:00 | 15:15 | Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers (Benjamin Clavié and Guillaume Soulié) |
| 15:15 | 15:30 | Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning (Deepak Kumar, Tessa Grosz, Elisabeth Greif, Navid Rekabsaz and Markus Schedl) |
| 15:30 | 16:05 | ☕️ Coffee break |
| 16:05 | 17:20 | Paper session 3 (chair: Mesut Kaya) |
| 16:05 | 16:20 | Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study (Federico Retyk, Hermenegildo Fabregat Marcos, Juan Aizpuru, Mariana Taglio and Rabih Zbib) |
| 16:20 | 16:35 | Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants (Yuxin Luo, Feng Lu, Vaishali Pal and David Graus) |
| 16:35 | 16:50 | Career Path Prediction using Resume Representation Learning and Skill-based Matching (Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder and Thomas Demeester) |
| 16:50 | 17:05 | Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach (Spyros Avlonitis, Dor Lavi, Masoud Mansoury and David Graus) |
| 17:05 | 17:20 | Tackling Cold Start For Job Recommendation With Heterogeneous Graphs (Éric Behar, Julien Romero, Amel Bouzeghoub and Katarzyna Wegrzyn) |
| 17:20 | 17:35 | Closing (chair: Jens-Joris de Corte) |