Call for papers


3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023)
Organized at the 17th ACM Conference on Recommender Systems, to be held in Singapore, September 18-22, 2023.



The field of Human Resources (HR) is at the forefront of adopting AI technologies. In 2021, by one count there were over 250 commercial AI-based HR tools available. Over 90% of employers in a study by Accenture and Harvard Business School use automated systems to filter or rank candidates, and over 40% of HR-functions of international companies use AI-applications. These so-called HR Technologies (HR Tech) aim to replace or support Human Resource functions such as talent acquisition and management, employee compensation, workforce analytics, and performance management.
Recommender Systems, broadly defined as systems that aim to support users in decision making by suggesting and offering relevant content, play an integral role in the rapid rise of HR Tech. Their applications range from assisting the talent acquisition process through matching, screening, filtering, and assessing candidates, to broader tasks such as user modeling from diverse sources like resumes, (video) interviews, of (psychometric) assessments and tests.
The focus of the RecSys in HR workshop series is on all areas of HR: recruitment (or job recommendation), retention, training and development, performance and career management, and talent pool management, and compensation and benefits. We invite submissions of original research on all aspects of recommender systems or related techniques—such as search, descriptive and predictive analytics, and interactive visualizations—applied to any of these key HR areas. In addition, we welcome position papers that discuss and present novel ideas or insights concerning approaches, key challenges, or theoretical or methodological issues that have the potential to inspire substantive discussion and lead to significant advances in the field. 

Relevant topics include (but are not limited to):

  • Theoretical and practical contributions on the application of recommender systems and related algorithms to the field of HR
  • Interfaces for HR analytics tools that employ recommender systems & AI and their role in decision making
  • Bias, fairness, ethics of the use of recommender systems & AI in HR
  • Multi-stakeholder analyses of recommender systems in HR
  • Explainability of recommender systems for HR tasks
  • HR metrics and analytics relevant to the evaluation of recommender systems in HR processes
  • The role of recommender systems in the full employee lifecycle
  • Recommender systems for up- and re-skilling employees
  • Recommender systems for employee retention and compensation
  • Economic & societal consequences of recommender systems & AI in HR
  • Novel approaches to recommendation in HR
  • User studies
  • Data sets for recommendation and HR Tech
  • Cold-start scenarios in recommendation for HR
  • Case studies of real-world implementations
  • People analytics
  • Expert recommendation & profiling
  • User representation and modeling
  • Human-augmented decision-making in HR
  • Automatic extraction and classification of job functions and skills


Authors are invited to submit papers of 4-10 pages on any of the relevant workshop topics in one of these categories:

  • Research papers that either describe mature work, including evaluation. 
  • Position papers that discuss and present novel ideas or insights concerning approaches, key challenges, or theoretical or methodological issues.

All submissions should be in English and should not have been published or currently under review for publication elsewhere. Papers should be formatted in the CEUR workshop proceedings template (
All the papers submitted will be reviewed using a double-blind refereeing process by at least two members of the program committee. Submissions can be made through the EasyChair submission system:
Papers will be published in the CEUR Workshop proceedings series.

Workshop format

We aim to make the RecSys in HR workshop an inclusive, interactive, and inspiring event. In order to make the workshop as interactive as possible, we plan for long Q&A sessions after each presentation and after a planned panel on relevant challenges for HR tech to allow for more discussion. In addition, we close the workshop by inviting the participants to continue the conversation of the panelists by organizing a dedicated Q&A session on the same topics. The workshop will be organized as a full day event. In addition to the activities outlined above, two keynote speakers from industry, government or academia will be invited.

Important dates

Paper submission deadline: August 3, 2023
Notification of paper acceptance: August 27, 2023
Camera-ready version deadline: September 10, 2023
Workshop (at RecSys 2023): September 18-22, 2023


Toine Bogers â€“ IT University of Copenhagen, Denmark
David Graus â€“ Randstad Groep Nederland, the Netherlands
Jens-Joris Decorte â€“ TechWolf, Belgium
Chris Johnson â€“ Indeed, United States
Mesut Kaya â€“ Aalborg University Copenhagen, Denmark


The workshop will be in conjunction with the 17th ACM Conference on Recommender Systems, to be held in Singapore, September 18-22, 2023. Similar to the main conference, the workshop will most likely take place in a hybrid format, allowing for both physical and online attendance.