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™...
‘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...
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...
LensKit 0.14.0 released (“Cleaning Up”)
LensKit just announced on Twitter that they released a new version of LensKit, one of the most popular recommender-systems software libraries. It seems there were...
Zalando publishes its RESTful API and Event Guidelines
It’s a bit off-topic, but since APIs have some relevance for recommender systems, this is worthwhile news*: Zalando – one of the world’s largest fashion...
RecList: A RecSys software library for behavioral testing
Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, and Brian Ko have released a new software library for recommender-systems testing. Source code is on...
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation [Guest Post]
In the last decade, Recommendation Systems (RSs) have gained momentum as the pivotal choice for personalized decision-support systems. The recommendation task is essentially a retrieval...
Google AI releases ‘RecSim NG’, a “Flexible, Scalable, Differentiable Simulation of Recommender Systems”
One or two years ago, Google AI released RecSim — A Configurable Simulation Platform for Recommender Systems. Now, Martin Mladenov from Google AI announced the...
‘Spotify Confidence’: convenience wrappers around stat models various functions
Spotify released Spotify Confidence, which provides “convenience wrappers around stats model’s various functions for computing p-values and confidence intervals. With Spotify Confidence, it’s easy to...
Google Introduces “Model Search”, an Open Source Platform for Finding Optimal ML Models
Hanna Mazzawi and Xavi Gonzalvo from Google AI announced “the open source release of Model Search, a platform that helps researchers develop the best ML models,...