ACM Transactions on Recommender Systems (TORS) – News

ACM Transactions on Recommender Systems (ACM TORS) is placing increased emphasis on methodological rigor in submissions that rely on offline evaluation. The goal is to further strengthen the quality, reliability, and interpretability of research published in the journal, particularly for algorithmic papers that compare new recommendation models against existing baselines via offline evaluations. The change […]

Multimodal recommendation is one of those ideas that sounds obvious until one looks more closely. Of course recommender systems should use more than one signal. Why rely only on clicks or ratings when one can also exploit text, images, audio, video, metadata, knowledge graphs, or behavioral traces? And yet, as soon as multiple modalities enter […]

Music recommendation is an unusually difficult problem. It is not only about matching listeners to songs. It is also a matter of balancing the interests of different stakeholders, whose interests do not always align: users want relevance and discovery, artists and other creators want visibility and fair exposure, and streaming platforms want engagement, retention, and […]

ACM Transactions on Recommender Systems (ACM TORS) has now been included in the China Computer Federation Ranking (CCF Ranking) (PDF). In the newly updated list, ACM TORS appears as a C-ranked journal in the area of databases, data mining, and information retrieval. It is listed at the same level as ACM TIST, which is a […]

Ever wondered how ChatGPT would write a summary of newly published articles at ACM TORS? Here is an example (what do you think? Let us know in the comments): Over the past few months, ACM Transactions on Recommender Systems has been quietly stacking up a set of ten freshly accepted papers that feel unusually “of […]

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 art in news recommendation is still… kind of disappointing. That’s exactly why ACM Transactions on Recommender Systems (ACM TORS) is running a Special Issue on New Directions for News Recommender […]

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 boundaries of causal inference for large-scale e-commerce promotions, one rethinks personalization for long-tail items through biased sampling, and one provides a comprehensive review of ethical considerations in user-generated content recommendations. […]

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 are particularly proud to see contributions from leading authorities in the RecSys community. In the past six months alone this includes articles by Alan Said, Barry Smyth, Dietmar Jannach, Michael […]

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 special issues opened (or advanced) their calls, and —new this year— highlighted TORS papers are showcased as posters at RecSys. Below is everything you might have missed. 1) New issue […]

The ACM Transactions on Recommender Systems (ACM TORS) is calling for papers for a special issue on recommender systems in the industry. This special issue aims to address this gap by showcasing recent progress and ongoing challenges in designing and implementing recommender systems in real-world environments. The objective is to guide academic scholars towards understanding […]