| 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

2021-09-20: submitted by Mesut Kaya, metadata incl. bibliographic data published under Creative Commons CC0
2021-10-04: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|