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ACM RecSys 2021

Monday, September 27, 2021 to Friday, October 1, 2021

Amsterdam, Netherlands Remote Attendance Accommodation available

Event Details

  • Registration is open and still possible at affordable prices for countries in economic development.
  • Registration fees can be waived for people interested in attending who can not afford to pay the fees.

Click here for registration information

The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. We are pleased to invite you to participate in RecSys 2021, which will be held entirely online during September 27 - October 1, 2021.


* Main conference: September 27-30, 2021
* Tutorials & workshops: September 25 - October 3, 2021


Registration is available by clicking the button below.

Click here for registration information

We are making RecSys more equitable this year. Attendees from countries that are “economically developing” (as designated by the ACM) will pay a reduced fee. In addition, we will continue to support the attendance of the conference in many different ways thanks to our +Inclusion program, our Doctoral Symposium and our Student Volunteer program. Moreover, we offer flexibility to change your registration type if needed, to ensure that all of you can decide to attend RecSys that best suits your personal situation and needs.


RecSys 2021 will be a physical conference with an online component. Attendees in Amsterdam will enjoy the usual RecSys experience of in-person talks, workshops, tutorials, keynotes and social events. Our venue, the Amsterdam Conference Centre, features large halls and high ceilings and is ideally suited to be adapted to any social distancing that may still be required at the time of the conference. Remote attendees will enjoy a first-class virtual experience on our dedicated virtual hub that will enable them to watch talks in real-time, ask questions to presenters and connect with sponsors. In order to kick off RecSys, and to ensure that all of us can connect regardless of where we are, we will also host a virtual social event on Friday 24th September from 16:00–19:00 CEST (approx). Our social event will feature a mix of recsys topics, icebreaker opportunities, and the usual RecSys social atmosphere!

Due to our hybrid format, our schedule is somewhat different than in previous years. Main-track paper sessions will run from 14:30 CEST to 19:30 CEST from Monday to Thursday. These are the golden hours in which most of the regular RecSys attendees will be able to watch the presentations live, even when they are in different timezones. Moreover, our virtual hub will allow attendees to watch recordings of the streams soon after the session has ended.

We will offer two tutorials every day from Tuesday to Thursday, between 09:30–13:00 CEST. Tutorials will be presented in-person at the venue and streamed live in the RecSys Virtual hub. Recordings will be made available for participants whose timezones do not align well with CEST morning hours.

Finally, workshops represent a large part of what makes RecSys so interesting! We have adapted the schedule for workshops to enable both physical participation and also virtual interaction on an equal footing. Physical workshops will be held from Tuesday to Thursday between 09:30–13:00 CEST and all day on Friday, parallel to the RecSys Challenge, while virtual slots for the workshops are available on Saturday October 2nd and Sunday October 3rd. The schedule and set up will be tailored to the needs of the workshop’s organizers and participants. Some of the physical workshops may decide to record and/or stream.


* Research papers:  
* Reproducibility papers:  
* Industry talks:


* Demonstrations:  
* Doctoral symposium:  
* Late-breaking Results:  


* Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances
* Multi-Modal Recommender Systems: Hands-On Exploration
* End-to-End Session-Based Recommendation on GPU
* Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications
* Conversational Recommendation: Formulation, Methods, and Evaluation
* Bias Issues and Solutions in Recommender System


* CARS: Workshop on Context-Aware Recommender Systems
* ComplexRec: Workshop on Recommendation in Complex Environments
* FAccTRec: Workshop on Responsible Recommendation
* FashionxRecSys: Workshop on Recommender Systems in Fashion and Retail
* GReS: Workshop on Graph Neural Networks for Recommendation and Search
* INRA: Workshop on News Recommendation and Analytics
* IntRS: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
* KaRS: Workshop on Knowledge-aware and Conversational Recommender Systems
* MORS: Workshop on Multi-Objective Recommender Systems
* OHARS: Workshop on Online Misinformation- and Harm-Aware Recommender Systems
* ORSUM: Workshop on Online Recommender Systems and User Modeling
* PERSPECTIVES: Workshop on Perspectives on the Evaluation of Recommender Systems
* PodRecs: Workshop on Podcast Recommendations
* RecSys Challenge Workshop
* RecSys in HR: Workshop on Recommender Systems for Human Resources
* RecTour: Workshop on Recommenders in Tourism
* SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research
* XMRec: Workshop on Cross-Market Recommendation


* Humberto Corona, Spotify, The Netherlands
* Martha Larson, Radboud University, The Netherlands
* Martijn Willemsen, Eindhoven University of Technology & Jheronimus Academy of Data Science, The Netherlands


* Joseph A. Konstan, University of Minnesota, USA
* Julian McAuley, UC San Diego, USA