Proceedings
Vol-2967 urn:nbn:de:0074-2967-4 Copyright © 2021 for the individual papers by the papers’ authors. Copyright © 2021 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). |
RECSYS IN HR 2021
The Workshop on Recommender Systems for Human Resources (RecSys in HR 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.
Edited by
Mesut Kaya *
Toine Bogers *
David Graus **
Katrien Verbert ***
Francisco Gutiérrez ***
* Aalborg University Copenhagen, Department of Communication and Psychology, Faculty of Humanities, Copenhagen, Denmark
** Randstad, Randstad Groep Nederland, Diemen, The Netherlands
*** KU Leuven, Department of Computer Science, Leuven, Belgium
Table of Contents
Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 7 as regular papers, 1 as short paper.
- Quantifying and Reducing Imbalance in Networks
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie - An Exploration of the Information Seeking Behavior of Recruiters
Toine Bogers, Mesut Kaya - Job Posting-Enriched Knowledge Graph for Skills-based Matching
Maurits de Groot, Jelle Schutte, David Graus - Fair Candidate Ranking with Spatial Partitioning: Lessons from the SIOP ML competition
Ian Burke, Robin Burke, Goran Kuljanin - Effectiveness of Job Title Based Embeddings on Résumé to Job Ad Recommendation
Mesut Kaya, Toine Bogers - Recommendations for Recruiters with Sentiment Detection (short paper)
Ashish Lakhani - Responsible Data Management for Human Resources
Dimitrios Vogiatzis, Olivia Kyriakidou - conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers
Dor Lavi, Volodymyr Medentsiy, David Graus