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HR@RecSys
2021
2023
2021
2023
Keyphrases
Publications
2023
Spyros Avlonitis
,
Dor Lavi
,
Masoud Mansoury
,
David Graus
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach.
HR@RecSys
(2023)
Nan Li
,
Bo Kang
,
Jefrey Lijffijt
,
Tijl De Bie
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources.
HR@RecSys
(2023)
Jarno Vrolijk
,
David Graus
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules.
HR@RecSys
(2023)
Deepak Kumar
,
Tessa Grosz
,
Elisabeth Greif
,
Navid Rekabsaz
,
Markus Schedl
Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning.
HR@RecSys
(2023)
Jens-Joris Decorte
,
Jeroen Van Hautte
,
Johannes Deleu
,
Chris Develder
,
Thomas Demeester
Career Path Prediction using Resume Representation Learning and Skill-based Matching.
HR@RecSys
(2023)
Yuxin Luo
,
Feng Lu
,
Vaishali Pal
,
David Graus
Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants.
HR@RecSys
(2023)
Eric Behar
,
Julien Romero
,
Amel Bouzeghoub
,
Katarzyna Wegrzyn-Wolska
Tackling Cold Start for Job Recommendation with Heterogeneous Graphs.
HR@RecSys
(2023)
Federico Retyk
,
Hermenegildo Fabregat
,
Juan Aizpuru
,
Mariana Taglio
,
Rabih Zbib
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study.
HR@RecSys
(2023)
Clara Rus
,
Maarten de Rijke
,
Andrew Yates
Counterfactual Representations for Intersectional Fair Ranking in Recruitment.
HR@RecSys
(2023)
Benjamin Clavié
,
Guillaume Soulié
Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers.
HR@RecSys
(2023)
volume 3490, 2023
Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Singapore, 18th-22nd September 2023.
HR@RecSys
3490 (2023)
2022
Miriam Amin
,
Jan-Peter Bergmann
,
Yuri Campbell
Using vector representations for matching tasks to skills.
HR@RecSys
(2022)
Benjamin Platten
,
Matthew Macfarlane
,
David Graus
,
Sepideh Mesbah
Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks.
HR@RecSys
(2022)
Jens-Joris Decorte
,
Jeroen Van Hautte
,
Johannes Deleu
,
Chris Develder
,
Thomas Demeester
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction.
HR@RecSys
(2022)
Adam Mehdi Arafan
,
David Graus
,
Fernando P. Santos
,
Emma Beauxis-Aussalet
End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates.
HR@RecSys
(2022)
Suyi Tu
,
Olivia Cannon
Beyond human-in-the-loop: scaling occupation taxonomy at Indeed.
HR@RecSys
(2022)
Yichao Jin
,
Anirudh Alampally
,
Dheeraj Toshniwal
,
Zhiming Xu
,
Ankush Girdhar
Model Threshold Optimization for Segmented Job-Jobseeker Recommendation System.
HR@RecSys
(2022)
Clara Rus
,
Jeffrey Luppes
,
Harrie Oosterhuis
,
Gido H. Schoenmacker
Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation.
HR@RecSys
(2022)
Mike Zhang
,
Kristian Nørgaard Jensen
,
Rob van der Goot
,
Barbara Plank
Skill Extraction from Job Postings using Weak Supervision.
HR@RecSys
(2022)
Wissem Inoubli
,
Armelle Brun
DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification.
HR@RecSys
(2022)
Roan Schellingerhout
,
Volodymyr Medentsiy
,
Maarten Marx
Explainable Career Path Predictions using Neural Models.
HR@RecSys
(2022)
Thom Lake
Flexible Job Classification with Zero-Shot Learning.
HR@RecSys
(2022)
volume 3218, 2022
Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, USA, 18th-23rd September 2022.
HR@RecSys
3218 (2022)
2021
Toine Bogers
,
Mesut Kaya
An Exploration of the Information Seeking Behavior of Recruiters.
HR@RecSys
(2021)
Dimitrios Vogiatzis
,
Olivia Kyriakidou
Responsible Data Management for Human Resources.
HR@RecSys
(2021)
Mesut Kaya
,
Toine Bogers
Effectiveness of Job Title Based Embeddings on Résumé to Job Ad Recommendation.
HR@RecSys
(2021)
Ian Burke
,
Robin Burke
,
Goran Kuljanin
Fair Candidate Ranking with Spatial Partitioning: Lessons from the SIOP ML competition.
HR@RecSys
(2021)
Maurits de Groot
,
Jelle Schutte
,
David Graus
Job Posting-Enriched Knowledge Graph for Skills-based Matching.
HR@RecSys
(2021)
Yoosof Mashayekhi
,
Bo Kang
,
Jefrey Lijffijt
,
Tijl De Bie
Quantifying and Reducing Imbalance in Networks.
HR@RecSys
(2021)
Ashish Lakhani
Recommendations for Recruiters with Sentiment Detection (short paper).
HR@RecSys
(2021)
Dor Lavi
,
Volodymyr Medentsiy
,
David Graus
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers.
HR@RecSys
(2021)
volume 2967, 2021
Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021) co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, 27th September - 1st October 2021.
HR@RecSys
2967 (2021)