CfP (ACM TOIS): Special Section on Trustworthy Recommendation and Search
The ACM Transactions on Information Systems (ACM TOIS) journal published a call for papers for a ‘Special Section on Trustworthy Recommendation and Search’. Guest editors are
- Hongzhi Yin, The University of Queensland, Australia
- Yizhou Sun, University of California, Los Angeles, USA
- Guandong Xu, University of Technology Sydney, Australia
- Evangelos Kanoulas, University of Amsterdam, Netherlands
Important Dates
- Open for Submissions: 31st January, 2022
- Submissions deadline: 31st May, 2022
- First-round review decisions: 15th July, 2022
- Deadline for revision submissions: 15th September, 2022
- Notification of final decisions: 31st October, 2022
- Final manuscripts due: 30th November, 2022
- Tentative publication: Early 2023
The “ACM Transactions on Recommender Systems” (ACM TORS) is revealed during the ACM RecSys Conference 2021
“Recommender Systems – Frontiers in Big Data” has published 18 articles since its launch
CfP: ACM TORS Special Issue on Large Language Models for Recommender Systems (LLM4RecSys)
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).