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Stats on Submitted & Accepted Papers and Acceptance Rate at the ACM Recommender Systems Conference until 2023
September 6, 2023
Update 13-11-2023: I added the numbers for 2023
The ACM Conference on Recommender Systems regularly releases numbers relating to its acceptance rate. We visualized the numbers as shown below and it’s good to see that the number of submitted papers slowly but steadily increases over time. From just above 100 papers in the first years to more than 200 in recent years. The acceptance rate in the first two years of the ACM Recommender Systems Conference was quite high (46% and 31% respectively). Since 2009, the acceptance rate of the ACM Recommender Systems Conference has been relatively stable around 20%, in recent years even somewhat below it (17% in 2022).
Now, let’s wait how the numbers for 2023 will be. What is your guess?
I am the founder of Recommender-Systems.com and head of the Intelligent Systems Group (ISG) at the University of Siegen, Germany https://isg.beel.org. We conduct research in recommender-systems (RecSys), personalization and information retrieval (IR) as well as on automated machine learning (AutoML), meta-learning and algorithm selection. Domains we are particularly interested in include smart places, eHealth, manufacturing (industry 4.0), mobility, visual computing, and digital libraries.
We founded or maintain, among others, LensKit-Auto, Darwin & Goliath, Mr. DLib, and Docear, each with thousand of users; we contributed to TensorFlow, JabRef and others; and we developed the first prototypes of automated recommender systems (AutoSurprise and Auto-CaseRec) and Federated Meta Learning (FMLearn Server and Client).