Tutorial and Short Survey Papers now accepted by ACM TORS
Sharing an update from ACM Transactions on Recommender Systems (TORS): the Author Guidelines were revised to include two additional paper types that we’d like to...
New Directions for News Recommender Systems: ACM TORS Special Issue (CfP)
Update 2026-03-08: The submission deadline is extended to April 17th, 2026. News is more important than ever—and yet, if we’re honest, the state of the...
“The most important application of the last 15 years is called RecSys, Recommener Systems” says Jensen Huang (NVIDIA)
Jensen Huang, CEO of NVIDIA, is not usually the one you expect to put recommender systems at the centre stage. Yet at the U.S.–Saudi Arabia...
A new promising book: “Recommender Algorithms – 2026 Practitioner’s Guide”
I received a very interesting new book “Recommender Algorithms: 2026 Practitioner’s Guide” by Rauf Aliev. I have skimmed only the first hundred pages, so this...
New in ACM TORS: Smarter Promotions, Fairer Algorithms, and the Upside of Bias
ACM TORS announces a set of three newly accepted papers in ACM Transactions on Recommender Systems that showcase the journal’s topical diversity: one pushes the...
Spotify and its recommender system has landed inside ChatGPT (for some)
From October 6, 2025, both Free and Premium listeners can connect their accounts and ask for songs, albums, playlists, or podcast episodes directly in a...
ACM TORS: “Just Accepted” in Summer / Autum 2025
We are glad to announce many new “just accepted” articles at ACM TORS. They cover important themes shaping the next decade of recommender-systems research. We...
ACM Transactions on Recommender Systems Shifts Social Media Focus to LinkedIn
The ACM Transactions on Recommender Systems (ACM TORS) journal has announced a strategic shift in its social media presence — moving its primary communication channel...
ACM TORS August/September ’25 Roundup
As the community converges on Prague for RecSys 2025 (Sept 22–26), ACM TORS has had a busy late summer: our Fall issue rolled out, multiple...
Yambda-5B, a promising dataset for recommender systems
The Yambda-5B dataset on Huggingface, introduced in the paper “Yambda-5B — A Large-Scale Multi-modal Dataset for Ranking and Retrieval” , offers a comprehensive resource for...