We are pleased to announce that our paper, “Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization,” has been accepted for publication in ACM Transactions on Recommender Systems (TORS). It is already available in the ACM Digital Library. About the Paper As recommender systems become increasingly powerful, Read more…
Earlier this year, we published a post about our paper and tool Checky, the Paper-Submission Checklist-Generator for Authors, Reviewers and LLMs, after its acceptance at ECIR 2025. Now, I’m excited to share my experience presenting the work as a demonstration paper at the conference – where I showcased Checky live, discussed its potential Read more…
With great delight, we had the opportunity to discuss our paper on our vision of a novel way to utilize the advantages of meta-learning in recommender systems at the 2nd Workshop: Perspectives on the Evaluation of Recommender Systems @ ACM Recommender Systems 2022. We had plenty of amazing discussions on Read more…