With a mere 2 weeks until our 4th Recommender Systems for Human Resources Workshop will be held in Bari, Italy, we have shared the final program and panel of our workshop.
Papers
We were able to accept a total of 10 high quality submissions in the workshop’s proceedings! They are:
- Finding the perfect match at scale: A quest on freelancer-project alignment for efficient multilingual candidate retrieval (Warren Jouanneau, Marc Palyart and Emma Jouffroy)
- MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations (Federico Retyk, Luis Gasco, Casimiro Pio Carrino, Daniel Deniz Cerpa and Rabih Zbib)
- Pseudo-online Measurement of Retrieval Recall for Job Recommendations – A case study at Indeed (Liyasi Wu, Yi Wei Pang and Warren Cai)
- On the Biased Assessment of Expert Finding Systems (Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder and Thomas Demeester)
- 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 and Lonneke van der Plas)
- A Dynamic Jobs-Skills Knowledge Graph (Alejandro Seif, Sarah Toh and Hwee Kuan Lee)
- Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation (Daniel Deniz, Federico Retyk, Laura García-Sardiña, Hermenegildo Fabregat, Luis Gasco and Rabih Zbib)
- Parallel Computation-Driven Stable Matching for Large-Scale Reciprocal Recommender Systems (Kento Nakada, Kazuki Kawamura and Ryosuke Furukawa)
- Enhancing Reliability in Recommendation Systems: Beyond point estimations to monitor population stability (Yingshi Chen, Mohit Jain, Vaibhav Sawhney and Liyasi Wu)
- Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations (Roan Schellingerhout, Francesco Barile and Nava Tintarev)
For the full program, please see: https://recsyshr.aau.dk/program/
Panel
Finally, as every year we are hosting a panel on job recommendation, algorithmic hiring, and related HR Tech tasks, and I am happy share our full list of invited panelists! Each year we try to strike a balance and find different perspectives and angles in the broad field where AI, RecSys, and HR meet. I think we’ve done a pretty good job this year, if I may say so myself, considering the following list of panelists:
- Hilke Schellmann is an investigative reporter and assistant professor of journalism at New York University, and author of “The Algorithm — How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now“
- Silvia Ecclesia is a PhD Researcher at the Norwegian University of Science and Technology (NTNU), contributing to the Horizon Europe project “BIAS: Mitigating diversity biases in the labor market” focusing on AI in recruitment and candidate selection in Italy.
- Vincent Slot is Team Lead R&D at Textkernel, who is leading the technical aspects of the Responsible AI efforts within Textkernel.
- Tommaso Di Noia is Professor of Computer Science at Politecnico di Bari, specializing in theoretical, algorithmic, and experimental aspects of recommender systems
Excited to have these experts share their insights at our workshop! For more details, including small bios of all our panelists, please see: https://recsyshr.aau.dk/panel/