Website Launch & Open for Submissions: ACM Transactions on Recommender Systems (ACM TORS)
The website of the journal ‘ACM Transactions on Recommender Systems‘ (ACM TORS) officially launched today. This includes the submission system on Manuscript Central.
It was about half a year ago that Dietmar Jannach and Li Chen announced the journal at the ACM Recommender Systems Conference in Amsterdam. The journal was officially supported by the ACM RecSys Steering Committee, and it has great potential to become the place to go for thorough extensive research on recommender systems that goes beyond the page limits of the ACM Recommender Systems Conference.
Members of the community are also invited to propose special issues.
Don’t forget to follow ACM TORS on Twitter, and for news on the journal check the journal’s announcement page, or here on RS_c: https://recommender-systems.com/news/category/acm-tors-news/.
ACM TORS Call for Papers: Special Issue on Recommender Systems for Good
The ‘ACM TORS’ journal had a successful first-year
Call for Papers: Special Issue on Recommender Systems in Industry – Challenges and Solutions (ACM TORS)
About The Author
Joeran Beel
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).