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...
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...
Experience of using CORE Recommender – an interview
The CORE recommender is recommender-system-as-a-service and API for research-paper recommendations (similar to my own service Mr. DLib). CORE has an impressive open source repository of...
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...