Welcome to RS_c – the central platform for the RecSys community.
Access curated collections of datasets, algorithms, books, conferences, and other resources, while staying up-to-date with the latest recommender system news.
Got news to share? Learn how to feature your updates on RS_c.
The ACM TORS editorial board had its first meeting
December 14, 2021
In October, it was revealed at the ACM RecSys conference, that there would be a journal on recommender systems: The ACM Transactions on Recommender Systems, in short, ACM TORS.
On the 10th and 14th of December 2021, the editorial board met for the first time together to discuss the next steps. Due to the time differences, two separate meetings were held.
So, stay tuned to learn when the new website will be launched, and the first call for papers will be released!
Below are two screenshots of the meeting, though a few members had to leave early and are hence missing.
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).