Call for papers

6th Workshop on Recommender Systems for Human Resources (RecSys in HR 2026)

Organized at the 20th ACM Conference on Recommender Systems, to be held in Minneapolis, September 28, 2026.

Website: https://recsyshr.aau.dk/
Contact: recsyshr@gmail.com

Scope

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 HR Tech
  •  Interfaces for HR technology tools that employ recommender systems & HR tech and their role in decision making
  • Responsible use of recommender systems & HR Tech 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/compensation
  • Economic & societal consequences of RecSys and HR Tech
  • Generative AI and LLMs for HR
  • User studies in recommender systems for HR and HR Tech
  • Data sets for recommendation and HR Tech
  • Case studies of real-world implementations
  • People analytics
  • Expert recommendation & profiling
  • Human-augmented decision-making in HR
  • Automatic extraction/classification of job functions and skills

Submissions

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 two-column CEUR workshop proceedings template (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw).  Reference pages do not count towards the page limit. Authors are encouraged to submit auxiliary material to enhance reproducibility; or include a link to an anonymous repository for code, pre-registered studies, and dataset information within their paper. Reviewers, however, are not required to review these materials.

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 (after selecting “Sixth Workshop on Recommender Systems for Human Resources” as the track): 

    https://easychair.org/my/conference?conf=recsys2026workshops

Papers will be published in the CEUR Workshop proceedings series. Some papers may be accepted for poster presentation at the workshop.

RecSys 2026 is an in-person conference. All accepted papers to the RecSys in HR workshop are expected to be presented in-person. At least one author from each accepted paper must register for and attend the workshop in person to present the paper and address audience questions during the Q&A session. We understand that travel conditions may be uncertain for some participants. In the case that accepted authors are unable to travel to the conference due to demonstrable visa or travel issues, they are allowed to record their presentation as a video and participate in the Q&A session online.

Workshop format

The workshop will be organized as a half-day event. 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 with Q&A sessions after each presentation and a planned panel on relevant challenges for HR tech to allow for more discussion. In addition, we are planning a poster session to facilitate more discussion between participants about their work.

Important dates

  • Paper submission deadline: July 20, 2026
  • Notification of paper acceptance: August 14, 2026
  • Camera-ready version deadline: August 28, 2026
  • Workshop (at RecSys 2026): September 28, 2026

Organizers

  • Toine Bogers – IT University of Copenhagen, Denmark
  • Mesut Kaya – Jobindex / IT University of Copenhagen, Denmark
  • Jens-Joris Decorte – TechWolf, Belgium
  • Josh Levy – Indeed, United States
  • Guillaume Bied – Ghent University, Belgium

Venue

The workshop will be in conjunction with the 20th ACM Conference on Recommender Systems, to be held in Minneapolis, Minnesota, USA, September 28 – October 2, 2026.