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Publication search results
found 32 matches
- 2023
- Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus:
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. HR@RecSys 2023 - Eric Behar, Julien Romero, Amel Bouzeghoub, Katarzyna Wegrzyn-Wolska:
Tackling Cold Start for Job Recommendation with Heterogeneous Graphs. HR@RecSys 2023 - Benjamin Clavié, Guillaume Soulié:
Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers. 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 - 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 - 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 - Yuxin Luo, Feng Lu, Vaishali Pal, David Graus:
Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants. 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 - Jarno Vrolijk, David Graus:
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. HR@RecSys 2023 - Mesut Kaya, Toine Bogers, David Graus, Chris Johnson, Jens-Joris Decorte:
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. CEUR Workshop Proceedings 3490, CEUR-WS.org 2023 [contents] - 2022
- Miriam Amin, Jan-Peter Bergmann, Yuri Campbell:
Using vector representations for matching tasks to skills. 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 - 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 - Wissem Inoubli, Armelle Brun:
DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification. 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 - Thom Lake:
Flexible Job Classification with Zero-Shot Learning. HR@RecSys 2022 - Benjamin Platten, Matthew Macfarlane, David Graus, Sepideh Mesbah:
Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks. 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 - Roan Schellingerhout, Volodymyr Medentsiy, Maarten Marx:
Explainable Career Path Predictions using Neural Models. HR@RecSys 2022 - Suyi Tu, Olivia Cannon:
Beyond human-in-the-loop: scaling occupation taxonomy at Indeed. 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 - Mesut Kaya, Toine Bogers, David Graus, Sepideh Mesbah, Chris Johnson, Francisco Gutiérrez:
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. CEUR Workshop Proceedings 3218, CEUR-WS.org 2022 [contents] - 2021
- Toine Bogers, Mesut Kaya:
An Exploration of the Information Seeking Behavior of Recruiters. 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 - Mesut Kaya, Toine Bogers:
Effectiveness of Job Title Based Embeddings on Résumé to Job Ad Recommendation. 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 - Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Quantifying and Reducing Imbalance in Networks. HR@RecSys 2021
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