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RecSys 2021 : 15th ACM Conference on Recommender Systems

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Conference Series : Conference on Recommender Systems
 
Link: https://recsys.acm.org/recsys21/
 
When Sep 27, 2021 - Oct 1, 2021
Where Amsterdam, Netherlands
Abstract Registration Due Apr 27, 2021
Submission Deadline May 4, 2021
Notification Due Jun 26, 2021
Final Version Due Jul 27, 2021
Categories    recsys
 

Call For Papers

Call for Papers

We are pleased to invite you to contribute to the 15th ACM Conference on Recommender Systems (RecSys 2021), the premier venue for research on the foundations and applications of recommendation technologies. The upcoming RecSys conference will be held from September 27th to October 1st 2021. The conference will be held in Amsterdam, Netherlands, with an inclusive format that accommodates remote attendance. The conference will continue RecSys’ practice of connecting the research and practitioner communities to exchange ideas, frame problems, and share solutions. 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, and contributions through applications that bring forward the lessons of innovative applications across various domains from e-commerce to education to social connections. 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.

Topics of interest for RecSys 2021 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
Economic models and consequences of recommender systems
Interfaces for recommender systems
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

Authors will be asked to assign a selection of predefined custom tags to describe their paper in the submission system. Tags can be assigned to indicate algorithms, interfaces, automated or user-centric evaluations, for example. Reviewers will also report their expertise over these tags, and the information will be used in review assignments.

Authors of main track research papers will also be asked to specify whether their work includes a component which is suitable for demonstration, which may be used to select some regular papers for additional presentation alongside other papers in the demo track. In case of acceptance in the main track, authors will be contacted by the Demos chairs to consider the inclusion of their work in the Demos track. Authors of rejected papers that have a demo component will have the opportunity to submit their demo as an independent submission, following the Demos call for participation.

We also point authors to the industry track for discussion of field experiences, deployments, users 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 preliminary work, mainly focused on fostering discussions with other members of the RecSys community.

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