ACM RecSys 2024 - 1st Call for Full and Short Papers
Lien Michiels
* We apologize if you receive multiple copies of this CfP *
For all the details of this CfP, visit: recsys.acm.org/recsys24/call/papers
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The 18th ACM Conference on Recommender Systems. Bari, Italy, 14–18 October 2024
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GENERAL INFO
ACM RecSys is the premier venue for research on the foundations and applications of recommendation technologies. ACM RecSys 2024 will continue RecSys’ practice of connecting researchers, practitioners, and students to exchange ideas, frame problems, and share solutions across a range of specialties concerned with recommendation
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CALL FOR LONG AND SHORT PAPERS
We are pleased to invite you to contribute your original research to RecSys 2024:
LONG PAPERS should report on substantial contributions of lasting value.
The maximum length is 16 pages (plus up to 2 pages of references).
SHORT PAPERS typically discuss exciting new work that is not yet mature enough for a long paper.
The maximum length is 8 pages (plus up to 2 pages references).
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IMPORTANT DATES
**Full papers**
Abstract submission deadline: April 22, 2024
Paper submission deadline: April 29, 2024
[NEW] Author rebuttal period: June 10-17, 2024
Author Notification: July 22, 2024
Camera-ready version deadline: August 19, 2024
**Short papers**
Abstract submission deadline: May 13, 2024
Paper submission deadline: May 20, 2024
[NEW] Author rebuttal period: June 24 – July 1, 2024
Author notification: July 29, 2024
Camera-ready version deadline: August 19, 2024
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.
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TOPICS OF INTEREST
Topics of interest for RecSys 2024 include but are not limited to (alphabetically ordered):
Algorithm scalability, performance, and implementations;
Bias, fairness, bubbles, and ethics of recommender systems;
Case studies of real-world implementations;
Conversational and natural language recommender systems;
Cross-domain recommendation;
Data characteristics and processing challenges underlying recommender systems;
Economic models and consequences of recommender systems;
Evaluation methodology for recommender systems;
Explanation interfaces for recommender systems;
Large-language models as part of recommender systems;
Multi-stakeholder recommendations;
Novel approaches to recommendation, including voice, VR/AR, etc.;
Preference elicitation;
Privacy and security;
Socially- and context-aware recommender systems;
Systems challenges such as scalability, data quality, and performance;
User studies of recommendation applications.
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IMPORTANT NOTES
While there will be the option to attend remotely, authors of accepted papers are expected to present the work in person.
The peer review process is mutually anonymous (double-blind).
Each paper should not be previously published or accepted to any peer-reviewed journal or conference, nor currently under review elsewhere.
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PROGRAM CHAIRS
Questions about this CfP? Contact the program chairs
Thorsten Joachims, Cornell University, Ithaca, NY, USA
Katrien Verbert, KU Leuven, Leuven, Belgium
Email: progr...@recsys.acm.org
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For more details on this CfP, visit: recsys.acm.org/recsys24/call/papers
Kind regards
Lien Michiels
On behalf of the RecSys 2024 Publicity Chairs
Alain Starke, Olivier Jeunen and Lien Michiels