[Air-L] ACM RecSys 2024 - 1W Reminder for Full Papers (Abstracts due: April 22, 2024)

[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 FULL RESEARCH 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).

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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

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: program2024 at 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