RecSys 2019 : ACM Conference on Recommender Systems

  in Conferences   Posted on October 8, 2018

Conference Information

Submission Deadline Monday 15 Apr 2019
Conference & Submission Link https://recsys.acm.org/recsys19/
Conference Dates Sep 16, 2019 - Sep 20, 2019
Conference Address Copenhagen, Denmark
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Google Scholar H5-index: 34
CORE 2017 Rating: B
Guide2Research Overall Ranking: 96
Category Rankings
Web, Mobile & Multimedia Technologies 17
Machine Learning & Arti. Intelligence 28

Conference Call for Papers

We invite you to contribute to the 13th ACM Conference on Recommender Systems (RecSys 2019), the premier venue for research and applications of recommendation technologies. The upcoming RecSys conference will be held in Copenhagen, Denmark, from September 16th to September 20th, 2019. 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 on all aspects of recommender systems, including applications ranging from e-commerce to social networking, and a wide variety of technologies ranging from collaborative filtering to knowledge-based reasoning or deep learning. We welcome new research on recommendation technologies coming from very diverse communities ranging from psychology to mathematics. In particular, we care as much about the underlying algorithms and systems as we care about the human and economic impact of these systems.

Topics of interest for RecSys 2019 include but are not limited to (alphabetically ordered):

Algorithm scalability, performance, and implementations
Bias, bubbles and ethics of recommender systems
Case studies of real-world implementations
Context-aware recommender systems
Conversational recommender systems
Cross-domain recommendation
Economic models and consequences of recommender systems
Evaluation metrics and studies
Explanations and evidence
Innovative/New applications
Interfaces for recommender systems
Novel machine learning approaches to recommendation algorithms (deep learning, reinforcement learning, etc.)
Preference elicitation
Privacy and Security
Social recommenders
User modelling
Voice, VR, and other novel interaction paradigms

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.

Other Conferences in Denmark

FCT 2019 : 22nd Symposium on Fundamentals of Computation Theory

Deadline :
Sun 07 Apr 2019
Aug 11, 2019 - Aug 14, 2019 - University of Copenhagen
Denmark