Dear Colleagues,
We are pleased to announce the Call for Reproducibility Papers for ACM RecSys 2026, the leading conference on recommender systems, taking place September 28 – October 2, 2026, in Minneapolis, Minnesota, USA.
The reproducibility of empirical results is a cornerstone of scientific research and a prerequisite to ensure continuous progress in our field. ACM RecSys 2026 therefore strongly encourages submissions that replicate or analyze prior works in similar or alternative settings or contribute to an increased level of reproducibility in the future.
Details & submission guidelines can be found here:
https://recsys.acm.org/recsys26/call/#content-tab-1-2-tab
Types of Contributions
We encourage the submission of different types of papers, including:
● Reproducibility and Replicability papers, that analyze prior works in different contexts, such as across different domains, using different datasets, or comparing against alternative baselines.
● Resource papers that lay the foundation for future reproducibility, for example, by introducing new datasets or open-source software frameworks for evaluating recommender systems.
Note that two paper classes accepted last year — methodology and reflective works — are no longer included. Papers whose primary contribution is methodological should be submitted as research papers to the main track. If you are unsure whether your work fits the reproducibility track, please contact the track chairs in advance at reproduci...@recsys.acm.org.
Key Deadlines for Reproducibility Track Submission (11:59 pm, AoE):
Paper Abstracts Due: April 28, 2026
Papers Due: May 5, 2026
Paper Notifications: July 9, 2026
Camera-Ready Due: July 27, 2026
During the review period, the track chairs may contact corresponding authors with technical questions raised during artifact review. Authors should look for these e-mails and respond promptly.
We encourage you to submit your latest research on reproducibility to ACM RecSys 2026. Looking forward to your contributions!
Best regards,
Noemi Mauro and Pan Li
On behalf of the ACM RecSys 2026 Organizing Committee