[iva] ACM RecSys 2022 - 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 2022, the sixteenth conference in this series, will be held in Seattle, Washington, USA. 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. 

IMPORTANT DATES

* Early-bird registration: August 19, 2022
* Cancellation deadline: August 26, 2022
* Main conference: September 19-21, 2022
* Tutorials & workshops: September 18 and September 22-23, 2022

REGISTRATION

Register for RecSys 2022 through the registration portal linked at https://recsys.acm.org/recsys22/registration/ 
In case of any questions or problems, please contact recsysreg at executivevents.com. Our registration terms and conditions, including COVID-19 related conditions, can be read in terms and conditions page.
To participate in RecSys 2022, registration for the main conference is mandatory, which for physical attendance includes access to all social events, including a reception and conference dinner, coffee breaks and lunches. 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 against a small processing fee.
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 Seattle along with a virtual option that makes remote attendance possible for those who need it. In addition to the main technical track, the RecSys 2022 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

* Research papers: https://recsys.acm.org/recsys22/accepted-contributions/papers
* Reproducibility papers: https://recsys.acm.org/recsys22/accepted-contributions/reproducibility
* Industry talks: https://recsys.acm.org/recsys22/accepted-contributions/industry

POSTER SESSIONS

* Demonstrations: https://recsys.acm.org/recsys22/accepted-contributions/demos
* Doctoral symposium: https://recsys.acm.org/recsys22/accepted-contributions/doctoral

TUTORIALS: https://recsys.acm.org/recsys22/tutorials/

* Conversational Recommender System Using Deep Reinforcement Learning
* Hands on Explainable Recommender Systems with Knowledge Graphs
* Hands-on Reinforcement learning for recommender systems – From Bandits to SlateQ to Offline RL with Ray RLlib
* Improving Recommender Systems with Human-in-the-Loop
* Neural Re-ranking for Multi-stage Recommender Systems
* Offline Evaluation for Group Recommender Systems
* Psychology-informed Recommender Systems
* Training and Deploying Multi-Stage Recommender Systems

WORKSHOPS: https://recsys.acm.org/recsys22/workshops/

* CARS: Workshop on Context-Aware Recommender Systems
* CONSEQUENCES: Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
* FAccTRec: The 5th Workshop on Responsible Recommendation
* fashionXrecsys: Workshop on Recommender Systems in Fashion and Retail
* FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services
* IntRS: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
* KaRS: Fourth Knowledge-aware and Conversational Recommender Systems Workshop
* MORS: 2nd Workshop on Multi-Objective Recommender Systems
* ORSUM: 5th Workshop on Online Recommender Systems and User Modeling
* PERSPECTIVES: Second Workshop: Perspectives on the Evaluation of Recommender Systems
* RecSys in HR: Recommender Systems for Human Resources
* RecTour: Workshop on Recommenders in Tourism 2022
* RecWork: Workshop on Recommender Systems for the Future of Work
* REVEAL: Reinforcement learning-based recommender systems at scale

GENERAL CHAIRS

* Jen Golbeck, University of Maryland, USA
* Max Harper, Amazon, USA
* Vanessa Murdock, Amazon, USA

PROGRAM CHAIRS

* Bracha Shapira, Ben-Gurion University of the Negev, Israel
* Michael Ekstrand, Boise State University, Boise, USA