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Results
Found 32 publication records. Showing 32 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus |
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach.  |
HR@RecSys  |
2023 |
DBLP BibTeX RDF |
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| 1 | 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 |
DBLP BibTeX RDF |
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| 1 | Jarno Vrolijk, David Graus |
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. |
HR@RecSys |
2023 |
DBLP BibTeX RDF |
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| 1 | 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 |
DBLP BibTeX RDF |
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| 1 | 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 |
DBLP BibTeX RDF |
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| 1 | Yuxin Luo, Feng Lu, Vaishali Pal, David Graus |
Enhancing Resume Content Extraction in Question Answering Systems through T5 Model Variants. |
HR@RecSys |
2023 |
DBLP BibTeX RDF |
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| 1 | Eric Behar, Julien Romero, Amel Bouzeghoub, Katarzyna Wegrzyn-Wolska |
Tackling Cold Start for Job Recommendation with Heterogeneous Graphs. |
HR@RecSys |
2023 |
DBLP BibTeX RDF |
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| 1 | Federico Retyk, Hermenegildo Fabregat, Juan Aizpuru, Mariana Taglio, Rabih Zbib |
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study. |
HR@RecSys |
2023 |
DBLP BibTeX RDF |
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| 1 | Mesut Kaya, Toine Bogers, David Graus, Chris Johnson 0011, Jens-Joris Decorte (eds.) |
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 |
2023 |
DBLP BibTeX RDF |
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| 1 | Clara Rus, Maarten de Rijke, Andrew Yates |
Counterfactual Representations for Intersectional Fair Ranking in Recruitment. |
HR@RecSys |
2023 |
DBLP BibTeX RDF |
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| 1 | Benjamin Clavié, Guillaume Soulié |
Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers. |
HR@RecSys |
2023 |
DBLP BibTeX RDF |
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| 1 | Miriam Amin, Jan-Peter Bergmann, Yuri Campbell |
Using vector representations for matching tasks to skills. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
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| 1 | Benjamin Platten, Matthew Macfarlane, David Graus, Sepideh Mesbah |
Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
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| 1 | 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 |
DBLP BibTeX RDF |
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| 1 | 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 |
DBLP BibTeX RDF |
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| 1 | Suyi Tu, Olivia Cannon |
Beyond human-in-the-loop: scaling occupation taxonomy at Indeed. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
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| 1 | Yichao Jin, Anirudh Alampally, Dheeraj Toshniwal, Zhiming Xu, Ankush Girdhar |
Model Threshold Optimization for Segmented Job-Jobseeker Recommendation System. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
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| 1 | Clara Rus, Jeffrey Luppes, Harrie Oosterhuis, Gido H. Schoenmacker |
Closing the Gender Wage Gap: Adversarial Fairness in Job Recommendation. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
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| 1 | Mesut Kaya, Toine Bogers, David Graus, Sepideh Mesbah, Chris Johnson 0011, Francisco Gutiérrez (eds.) |
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 |
2022 |
DBLP BibTeX RDF |
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| 1 | Mike Zhang, Kristian Nørgaard Jensen, Rob van der Goot, Barbara Plank |
Skill Extraction from Job Postings using Weak Supervision. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
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| 1 | Wissem Inoubli, Armelle Brun |
DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
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| 1 | Roan Schellingerhout, Volodymyr Medentsiy, Maarten Marx |
Explainable Career Path Predictions using Neural Models. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Thom Lake |
Flexible Job Classification with Zero-Shot Learning. |
HR@RecSys |
2022 |
DBLP BibTeX RDF |
|
| 1 | Toine Bogers, Mesut Kaya |
An Exploration of the Information Seeking Behavior of Recruiters. |
HR@RecSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Dimitrios Vogiatzis, Olivia Kyriakidou |
Responsible Data Management for Human Resources. |
HR@RecSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Mesut Kaya, Toine Bogers |
Effectiveness of Job Title Based Embeddings on Résumé to Job Ad Recommendation. |
HR@RecSys |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ian Burke, Robin Burke, Goran Kuljanin |
Fair Candidate Ranking with Spatial Partitioning: Lessons from the SIOP ML competition. |
HR@RecSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Maurits de Groot, Jelle Schutte, David Graus |
Job Posting-Enriched Knowledge Graph for Skills-based Matching. |
HR@RecSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie |
Quantifying and Reducing Imbalance in Networks. |
HR@RecSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Mesut Kaya, Toine Bogers, David Graus, Katrien Verbert, Francisco Gutiérrez (eds.) |
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 |
2021 |
DBLP BibTeX RDF |
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| 1 | Ashish Lakhani |
Recommendations for Recruiters with Sentiment Detection (short paper). |
HR@RecSys |
2021 |
DBLP BibTeX RDF |
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| 1 | Dor Lavi, Volodymyr Medentsiy, David Graus |
conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers. |
HR@RecSys |
2021 |
DBLP BibTeX RDF |
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