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4th HR@RecSys 2024: Bari, Italy
- Mesut Kaya, Toine Bogers, David Graus, Chris Johnson, Jens-Joris Decorte, Tijl De Bie:
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. CEUR Workshop Proceedings 3788, CEUR-WS.org 2024 - Alejandro Seif, Sarah Toh, Hwee Kuan Lee:
A Dynamic Jobs-Skills Knowledge Graph. - Federico Retyk, Luis Gascó, Casimiro Pio Carrino, Daniel Deniz, Rabih Zbib:
MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations. - Daniel Deniz, Federico Retyk, Laura García-Sardiña, Hermenegildo Fabregat, Luis Gascó, Rabih Zbib:
Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation. - Kento Nakada, Kazuki Kawamura, Ryosuke Furukawa:
Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems. - Yingshi Chen, Mohit Jain, Vaibhav Sawhney, Liyasi Wu:
Enhancing Reliability in Recommendation Systems: Beyond point estimations to monitor population stability. - Liyasi Wu, Yi Wei Pang, Warren Cai:
Pseudo-online Measurement of Retrieval Recall for Job Recommendations - A case study at Indeed (short paper). - Roan Schellingerhout, Francesco Barile, Nava Tintarev:
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations. - Warren Jouanneau, Marc Palyart, Emma Jouffroy:
Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval. - Laura Vásquez-Rodríguez, Bertrand Audrin, Samuel Michel, Samuele Galli, Julneth Rogenhofer, Jacopo Negro Cusa, Lonneke van der Plas:
Hardware-effective Approaches for Skill Extraction in Job Offers and Resumes. - Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester:
On the Biased Assessment of Expert Finding Systems.
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