[iva] ACM RecSys 2023 - Call for Participation

[acmrecsys at gmail.com]

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The ACM Conference on Recommender Systems (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. RecSys brings together the major international research groups working on recommender systems, along with many of the world’s leading companies active in e-commerce and other adjacent domains. It has become the most important annual conference for the presentation and discussion of recommender systems research. RecSys 2023, the seventeenth conference in this series, will be held in Singapore. It will bring together researchers and practitioners from academia and industry to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, the RecSys 2023 program will feature keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium.

IMPORTANT DATES

* Early-bird registration: August 13, 2023
* Cancellation deadline: August 20, 2023
* Main conference: September 20-22, 2023
* Tutorials & workshops: September 18-19, 2023

REGISTRATION

Register for RecSys 2023 through the registration portal linked at https://recsys.acm.org/recsys23/registration/
In case of any questions or problems, please contact recsysreg at executivevents.com. Our registration terms and conditions can be read in terms and conditions page.
To participate in RecSys 2023, registration for the main conference is mandatory, which for physical attendance includes an evening reception at the Marina Bay Sands Expo with food and drinks included. Additional tickets for this social event are available for purchase on the registration site.
Registering for the tutorials and/or workshops is optional; all prices are in USD and include VAT.
Changing between virtual and physical attendance is possible before the early bird registration deadline.
In striving for a conference cost that is affordable for all, we have deeply discounted rates available for those registering in countries designated by ACM as “economically developing”. Countries in category H receive a discount of 60%, category I receive a discount of 75%.

FORMAT AND PROGRAM

We are planning a hybrid conference format, with a physical conference in Singapore along with a virtual option that makes remote attendance possible for those who need it. We expect all the accepted contributions to be presented in person, while non-presenters can use the virtual participation option. In addition to the main technical track, the RecSys 2023 program will feature keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium.

PAPER SESSIONS

* Long research papers: https://recsys.acm.org/recsys23/accepted-contributions/long
* Short research papers: https://recsys.acm.org/recsys23/accepted-contributions/short
* Reproducibility papers: https://recsys.acm.org/recsys23/accepted-contributions/reproducibility
* Industry talks: https://recsys.acm.org/recsys23/accepted-contributions/industry

POSTER SESSIONS

* Late-breaking results: https://recsys.acm.org/recsys23/accepted-contributions/lbr
* Demonstrations: https://recsys.acm.org/recsys23/accepted-contributions/demos
* Doctoral symposium: https://recsys.acm.org/recsys23/accepted-contributions/doctoral

TUTORIALS: https://recsys.acm.org/recsys23/tutorials/

* Tutorial on Large Language Models for Recommendation.
* On Challenges of Evaluating Recommender Systems in Offline Setting.
* User Behavior Modeling with Deep Learning for Recommendation: Recent Advances.
* Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives.
* Recommenders in the Wild / Practical Evaluation Methods.
* Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives.

WORKSHOPS: https://recsys.acm.org/recsys23/workshops/

* RecSys in HR: 3rd Workshop on Recommender Systems for Human Resources
* QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems
* MuRS: Music Recommender Systems Workshop
* IntRS’23: 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
* VideoRecsys: First Workshop on Large-Scale Video Recommender Systems
* LERI: Workshop on Learning and Evaluating Recommendations with Impressions
* NORMalize: The 1st Workshop on Normative Design and Evaluation of Recommender Systems
* PERSPECTIVES: 3rd Workshop: Perspectives on the Evaluation of Recommender Systems
* CONSEQUENCES: The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender systems
* ORSUM: 6th Workshop on Online Recommender Systems and User Modeling
* DLP: International Workshop on Deep Learning Practice for High-Dimensional Sparse Data
* BehavRec: Workshop on Recommendations for Behavior Change
* fashionXrecsys: Recommender Systems in Fashion & Retail
* FAccTRec: The 6th Workshop on Responsible Recommendation
* CARS: Workshop on Context-Aware Recommender Systems
* RecTour: Workshop on Recommenders in Tourism 2023
* KaRS: Fifth Knowledge-aware and Conversational Recommender Systems Workshop
* INRA: International Workshop on News Recommendation and Analytics

GENERAL CHAIRS

* Shlomo Berkovsky, Macquarie, Sydney, Australia
* Li Chen, HKBU, Hong Kong, China
* Jie Zhang, NTU, Singapore

PROGRAM CHAIRS

* Tommaso Di Noia, Polytechnic University of Bari (POLIBA), Bari, Italy
* Min Zhang, Tsinghua University (THU), Beijing, China