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Vol-3788
urn:nbn:de:0074-3788-5
Copyright © 2024 for
the individual papers by the papers' authors.
Copyright © 2024 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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RECSYS-in-HR 2024
Recommender Systems for Human Resources 2024
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.
Edited by
*
Jobindex A/S,
Jobindex, Copenhagen, Denmark
**
IT University of Copenhagen,
Computer Science Department, Copenhagen, Denmark
***
Randstad,
Randstad NV, Diemen, The Netherlands
****
Indeed,
Indeed, USA
*****
TechWolf,
TechWolf, Ghent, Belgium
******
Ghent University,
Ghent University, Ghent, Belgium
Table of Contents
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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.
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A Dynamic Jobs-Skills Knowledge Graph
Alejandro Seif,
Sarah Toh,
Hwee Kuan Lee
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MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations
Federico Retyk,
Luis Gascó,
Casimiro Pio Carrino,
Daniel Deniz,
Rabih Zbib
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Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation
Daniel Deniz,
Federico Retyk,
Laura García-Sardiña,
Hermenegildo Fabregat,
Luis Gasco,
Rabih Zbib
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Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems
Kento Nakada,
Kazuki Kawamura,
Ryosuke Furukawa
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Enhancing Reliability in Recommendation Systems: Beyond point estimations to monitor population stability
Yingshi Chen,
Mohit Jain,
Vaibhav Sawhney,
Liyasi Wu
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Pseudo-online Measurement of Retrieval Recall for Job Recommendations - A case study at Indeed (short paper)
Liyasi Wu,
Yi Wei Pang,
Warren Cai
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Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations
Roan Schellingerhout,
Francesco Barile,
Nava Tintarev
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Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval
Warren Jouanneau,
Marc Palyart,
Emma Jouffroy
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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
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On the Biased Assessment of Expert Finding Systems
Jens-Joris Decorte,
Jeroen Van Hautte,
Chris Develder,
Thomas Demeester
2024-10-10: submitted by Mesut Kaya,
metadata incl. bibliographic data published under Creative Commons CC0
2024-10-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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