# RecSys — ACM Conference on Recommender Systems

- **Submission deadline**: 2026-04-14
- **Notification date**: 2026-07-09
- **Conference date**: 2026-09-28
- **Location**: Minneapolis, Minnesota, USA
- **Rankings**: CCF B · CORE A · QUALIS B1
- **Conference Partner Index**: 84.1/100 (ranked #139, confidence 1.00, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 60
- **Attendees**: 8
- **Canonical page**: https://www.myhuiban.com/conference/890

## Acceptance history

| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| 2020 | 218 | 39 | 17.9% |
| 2019 | 189 | 36 | 19% |
| 2018 | 181 | 32 | 17.7% |
| 2017 | 125 | 26 | 20.8% |
| 2016 | 159 | 29 | 18.2% |
| 2015 | 152 | 35 | 23% |

## Call for papers

The 20th ACM Conference on Recommender Systems (RecSys 2026), the leading conference for research on the foundations and applications of recommendation technologies, will take place from September 28 to October 2nd, 2026, in Minneapolis, Minnesota, USA. We look forward to receiving your contributions for RecSys 2026. Below, you will find the descriptions of different tracks accepting contributions. The “In-Brief” and “Important Dates” sections of the CFP discuss key points of attention for this call. In the rest of the CFP, we provide detailed information that authors should thoroughly review when preparing their submissions. Main track (handled by the program chairs): Long papers: We welcome high-impact original papers that contribute to all aspects of recommender systems. The paper length should be commensurate with the depth of contribution, comprehensiveness of analyses, and thorough discussion of related work. Each accepted paper will be included in the conference proceedings and presented at the conference. We expect the review process to be highly selective. Short papers: This track is intended for contributions that can be described completely and rigorously within a smaller page limit. These papers should present focused, self-contained research stories supported by experimental validations. Past, present and future papers: To mark the twentieth year of the RecSys Conference, this track encourages papers that consider a broad perspective on how the field has evolved and the challenges and directions that lay ahead. Relevant Areas & Topics Foundations of recommender systems Human-centered and interactive recommendation Explainability, transparency, and user control in recommender systems Fairness, safety, diversity, bias-mitigation, and societal impact of recommender systems Legal and ethical aspects of recommender systems Sustainable and eco-aware recommender systems Recommenders for multi-stakeholder, cross-domain, and multimodal contexts Generative, agentic, and reasoning-based recommendation Conversational, knowledge-based, and context-aware recommenders Recommendation evaluation methodologies and metrics beyond accuracy Recommender systems data, reproducibility, and benchmarking resources Real-world applications, case studies, and deployment insights of recommenders Other tracks (handled by their respective chairs): Research and Practice Notes (replacing late-breaking results): short presentations of preliminary work, mainly focused on fostering discussions with other members of the RecSys community. Demo: implementations of novel, interesting, and important recommender systems’ concepts or applications. Reproducibility: contributions that discuss several aspects of reproducibility of empirical results, such as new resources or novel evaluation methodologies. Industry: papers that discuss field experiences, deployments, user studies and real-world challenges faced by industry practitioners.

## Related conferences

- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421
- IJCAI — International Joint Conference on Artificial Intelligence — https://www.myhuiban.com/conference/405
- ICASSP — International Conference on Acoustics, Speech and Signal Processing — https://www.myhuiban.com/conference/429
- PODS — ACM SIGMOD Conference on Principles of DB Systems — https://www.myhuiban.com/conference/138
- ICME — International Conference on Multimedia and Expo — https://www.myhuiban.com/conference/278

## Related journals

- ACM Transactions on Recommender Systems — https://www.myhuiban.com/journal/1186
- Software & Systems Modeling — https://www.myhuiban.com/journal/99
- Pattern Recognition — https://www.myhuiban.com/journal/198
- IEEE Transactions on Neural Networks and Learning Systems — https://www.myhuiban.com/journal/188
- Information Sciences — https://www.myhuiban.com/journal/115

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Source: Conference Partner — https://www.myhuiban.com/conference/890 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)