New LensKit-Auto brings TPE, DeepCAVE and new LensKit Core features
Disclaimer: I am also head of the Intelligent Systems Group, which developed LensKit-Auto A new step for LensKit-Auto The Intelligent Systems Group at the University...
Attention in RecSys: When Attention Stops Paying for Itself
Part 1 of a series on scaling user sequence modeling in production RecSys. Don’t want to read a wall of text? Here’s the audio/video explainer,...
LensKit 2026.1.0 arrived!
LensKit 2026.1.0 (Website; GitHub) has been released, and it is best understood as a continuation of the refactoring effort that reshaped the library in 2025....
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...
ZenDNN v5.0: A Major Step Forward for Recommender Systems Researchers and Developers
On November 15, 2024, AMD released ZenDNN v5.0, the latest deep neural network library version. This update delivers hardware-specific optimizations, including support for Zen5 EPYC™...
Netflix creates personalized “Sizzles” (video previews)
Netflix announced that it is now personalizing the sizzles in the user interface. A sizzle reel is “a montage of video clips from different titles...
‘Microsoft Recommenders’ + ‘Linux Foundation of AI and Data’ = ‘recommenders-team’
Microsoft Recommenders was introduced a few years ago, and it provided guidelines and a collection of software libraries relating to recommender systems. Today I found...
Our Subdomain Service Now Offers Fully-Featured Webspace with PHP, MySQL, FTP, Cronjobs, Email…
A few months ago, we announced our subdomain service Your-Project.Recommender-Systems.com. Now, we extend the service and additionally offer fully-featured webspace. The service is free and...
RS_c Starts a Free Subdomain Service: https://Your-Project.Recommender-Systems.com
We offer a new service for everyone who has a recommender-systems project and needs a free and easy-to-remember domain: https://your-project.recommender-systems.com. Our service works e.g. as...
TorchRec, a new Recommender-Systems Library by PyTorch
The PyTorch team (and Meta.ai aka Facebook AI team) announced a new software library for recommender systems: TorchRec (GitHub). PyTorch is one of the major...