Call for Contributions

Call for Research Papers

We are pleased to invite you to contribute to the 18th ACM Conference on Recommender Systems (RecSys 2024), the premier venue for research on the foundations and applications of recommendation technologies. The upcoming RecSys conference will be held from October 14-18, 2024 in Bari, Italy. While there will be the option to attend remotely, authors of accepted papers are expected to present the work in person. The conference 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. All accepted papers will be published by ACM.

We invite submissions of original research on all aspects of recommender systems, including contributions to algorithms ranging from collaborative filtering to knowledge-based reasoning or deep learning, contributions to design ranging from studies of human preferences and decision-making to novel interaction design, contributions to systems including practical issues of scale and deployment, contributions through applications that bring forward the lessons of innovative applications across various domains from e-commerce to education to social connections, and contributions through scientific inquiry on fundamental dynamics and impact of recommender systems. We welcome new research on recommendation technologies coming from diverse communities ranging from psychology to mathematics. In particular, we care as much about the human and economic impact of these systems as we care about their underlying algorithms. We encourage research papers coming from industry that focus on open challenges in their specific environment.

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.

Papers on demonstration for RecSys should be submitted to the demo track, while papers on new resources for RecSys should be submitted to the reproducibility track. They would be desk-rejected in the main track.

We also point authors to the industry track for discussion of field experiences, deployments, user studies (etc.) that do not follow the framework of regular papers, or align with the reviewing guidelines below. A separate track is also included for late-breaking results papers; this track is intended for short presentations of preliminary work, mainly focused on fostering discussions with other members of the RecSys community.

Reviewing Process

Reviewers will evaluate papers based on their significance, originality, rigor, and contribution to the field. In view of the RecSys conference goal of advancing the field, reviewers are also asked to consider the replicability of reported research. Replicability is to be assessed in the context of the work itself — we recognize that a set of customer interviews (for example) may not be shareable, but the interview scripts can be provided along with other resources such as response coding protocols. Papers that are out of scope, incomplete, or lack sufficient evidence to support the basic claims, may be rejected without full review.

Submission Guidelines

LONG PAPERS should report on substantial contributions of lasting value. The maximum length is 8 pages (plus up to 2 pages of references). Authors can also submit auxiliary material to enhance reproducibility (e.g., experiment details, proof details), but papers should be self-contained and reviewers are not required to review the auxiliary material. Each accepted long paper will be included in the conference proceedings and presented in the form of a talk or poster as part of the main conference program.

SHORT PAPERS typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking strong theoretical foundation. Applications of recommender systems to novel areas are especially welcome. The maximum length is 4 pages (plus up to 1 page of references). Authors can also submit auxiliary material to enhance reproducibility (e.g., experiment details, proof details), but papers should be self-contained and reviewers are not required to review the auxiliary material. Each accepted short paper will be included in the conference proceedings and presented in a poster session. The poster presentation may include a system demonstration. Selected short papers will be invited as oral presentations. Note that rejected long paper submissions will not be considered as short papers.

All submissions and reviews will be handled electronically. Papers must be submitted to EasyChair.


We always encourage authors to present reproducible scientific results and we strongly believe this is an attitude we should foster in our RecSys community. To promote a fair evaluation of new algorithms and approaches with state-of-the-art baselines and allow other researchers to reproduce the results presented in RecSys papers, we suggest the authors refer to one of the frameworks listed in As for the datasets to use in experimental evaluations, authors may refer to the repositories available at

Sharing of datasets and code is encouraged, and authors presenting work that was tested on proprietary data may wish to include a secondary analysis on a public or shareable data set. We also strongly recommend the authors, whenever there are no restrictions, to make their code available on a public repository. The same holds for non-public datasets used for experimental evaluations. To keep the anonymity of their submission, the authors may refer to


ACM’s archival publication format separates content from presentation in the Digital Library to enhance accessibility and improve the flexibility and resiliency of our publications. All authors should submit manuscripts for review in a double-column format. Instructions for Word and LaTeX authors are given below:

  • Microsoft Word: Write your paper using ACM’s interim template. Follow the embedded instructions to apply the paragraph styles to your various text elements. The text is in double-column format and no additional formatting is required at this stage.
  • LaTeX: Please use the latest version of the Primary Article Template – LaTeX to create your submission.Start the document with the \documentclass[sigconf,anonymous]{acmart} command to generate the output in a double-column format. Please see the LaTeX documentation and ACM’s LaTeX best practices guide for further instructions, ignoring the single-column instructions. Do not use the “manuscript” option, otherwise the document will not be compiled in double-column, as required. Check the sample-sigconf.tex file included in the template package for a formatting example. To ensure 100% compatibility with The ACM Publishing System (TAPS), please restrict the use of packages to the whitelist of approved LaTeX packages.

Further instructions for camera-ready submission will be provided to authors of accepted contributions.
A document with some frequently asked questions can be found here.

Authors are strongly encouraged to provide “alt text” (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author as well as it broadens the reader base for the author’s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Please check your template’s documentation for instructions on how to use “alt text”. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures.

Should you have any questions or issues going through the instructions above, please contact support at for both LaTeX and Microsoft Word inquiries.

Accepted papers will be later submitted to ACM’s new production platform where authors will be able to review PDF and HTML output formats before publication.


The peer review process is mutually anonymous (double-blind). This means that all submissions must not include information identifying the authors or their organization. Specifically, do not include the authors’ names and affiliations, refer to your previous work in the third person (e.g., “Joachims and Verbert (2024) recommended that RecSys submissions be anonymized by referring to the authors’ prior work in the third person.”), and avoid providing any other information that would allow reviewers to identify the authors, such as acknowledgments of individuals and funding sources. However, it is acceptable to explicitly refer in the paper to the companies or organizations that provided datasets, hosted experiments or deployed solutions if there is no implication that the authors are currently affiliated with the mentioned organization. Reviewers are instructed not to search for tech reports, pre-prints, and other information about your research. Your responsibility is focused on making sure that the paper submission itself does not reveal your identity as author.


ACM RecSys expects all authors to comply with ethical and regulatory guidelines associated with human subjects research, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Papers reporting on such human subjects research must include a statement identifying any regulatory review the research is subject to (and identifying the form of approval provided), or explaining the lack of required review. Reviewers will be asked to consider whether the research was conducted in compliance with applicable ethical and regulatory guidelines.

We encourage authors to consider further ethical implications and broader impacts of their work, and to discuss these in an appropriate section of their papers; “A Guide to Writing the NeurIPS Impact Statement” provides non-binding guidance on some of the kinds of things authors may wish to consider.


Each paper should not be previously published or accepted to any peer-reviewed journal or conference, nor currently under review elsewhere (including as another paper submission for RecSys 2024). Papers published in workshop proceedings may only be submitted if the RecSys submission includes at least 30% new content; such papers must also reference the original workshop paper on the submission form (but not in the anonymized paper). Workshops without published proceedings are exempt from this rule. Submission of the paper to pre-print sites like arXiv is allowed before and after submission to RecSys 2024.

Authors must follow the ACM Policy on Authorship (FAQ). Papers that include material produced by GenAI tools (e.g., text generated from a large-scale language model (LLM) such as ChatGPT) have to disclose the extend and nature of this use in a section titled “Acknowledgments”, so that reviewers can assess the overall rigor of the research methodology. Exempt from this disclosure is the use of AI tools for editing and polishing authors’ work, such as authors using LLMs for light editing of their own text (e.g., automate grammar checks, word autocorrect, and other editing work). Authors that chose to use GenAI tools are fully responsible for any inaccuracies, bias, plagiarism and other violations as if the authors had produced the content themselves. Submission of papers that are primarily produced by GenAI without substantial author contributions are prohibited and are considered spam. Only humans can be authors of a submitted paper.


Plagiarized papers will not be accepted for RecSys 2024. Our committees will be checking the plagiarism level of all submitted papers to ensure content originality using an automated tool.

If you reuse non-novel text from a prior publication (e.g., the description of an algorithm or dataset), please be sure to cite the prior publication as the source of that text. If you have questions about reuse of text or simultaneous submission, please contact the program chairs at least one week prior to the submission deadline. Please refer to the ACM Publishing License Agreement and Authorship Policy for further details.

Papers violating any of the above guidelines are subject to rejection without review and cases may be referred to the ACM Publications Ethics and Plagiarism committee for further action where warranted.


Please take note that the official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.


Authors of accepted papers will have the choice to publish the work either under the conventional ACM policy free of author fees, or under the ACM Open Access policy potentially subject to an article processing charge.


The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference.

SIGCHI Submitter Agreement

By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.

Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.”

RecSys 2024 is a SIGCHI conference and making a submission to a SIGCHI conference is a serious matter. Submissions require time and effort by SIGCHI volunteers to organize and manage the reviewing process, and, if the submission is accepted, the publication and presentation process. Thus, anyone who submits to RecSys 2024 implicitly confirms the following statements:

  1. I confirm that this submission is the work of myself and my co-authors.
  2. I confirm that I or my co-authors hold copyright to the content, and have obtained appropriate permissions for any portions of the content that are copyrighted by others.
  3. I confirm that any research reported in this submission involving human subjects has gone through the appropriate approval process at my institution.
  4. I confirm that if this paper is accepted, I or one of my co-authors will present the paper at the conference, either in person or through a conference-designated remote presentation option. Papers that are not presented at the conference by an author may be removed from the proceedings at the discretion of the program chairs.

Important Dates

  • [FULL] Abstract submission deadline: April 22, 2024
  • [FULL] Paper submission deadline: April 29, 2024
  • [FULL] Author rebuttal period: June 10-17, 2024
  • [FULL] Author Notification: July 22, 2024
  • [SHORT] Abstract submission deadline: May 13, 2024
  • [SHORT] Paper submission deadline: May 20, 2024
  • [SHORT] Author rebuttal period: June 24 – July 1, 2024
  • [SHORT] Author notification: July 29, 2024
  • [FULL and SHORT] Camera-ready version deadline: August 19, 2024

Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.

Program Chairs

  • Thorsten Joachims, Cornell University, Ithaca, NY, USA
  • Katrien Verbert, Katholieke Universiteit Leuven, Leuven, Belgium