‘Papers with Code’ partners with arXiv to increase reproducibility
This is exciting news, not only for the recommender-system community but many more: Robert Stojnic announced that Papers with Code partners with arXiv. Pre-Prints on...
StrainBrain: A Recommender System for Weed
I just stumbled upon StrainBrain, a Cannabis Strain Recommendation Engine. According to their website, they are supported, among others, by Google Cloud for Start-Ups. The...
Amazon’s so-far private Machine Learning ‘University’ offers courses for everyone
Douglas Gantenbein from Amazon announced that Amazon would publish some machine learning courses. So far, these courses were only available to Amazon staff. There will...
Spotify Re-Releases its Million-Playlist Dataset from the RecSys Challenge 2018
In 2018, Spotify co-organized the ACM RecSys Challenge and provided a massive dataset of 1 million playlists consisting of 2 million tracks by around 300,000...
LinkedIn introduces “GDMix”, a deep ranking personalization framework
Jun Shi from LinkedIn announced the release of GDMix (GitHub), a deep ranking personalization framework. GDMix stands for Generalized Deep Mixed Model and is… a solution...
NVIDIA Team wins the ACM RecSys Challenge 2020
It seems that NVIDIA becomes a new big player in the recommender-system community. After introducing Merlin – a Framework for Deep Recommender Systems – and...
TensorFlow introduces ‘TensorFlow Recommenders’ (TFRS)
This is big news for the recommender-system community: Maciej Kula and James Chen from Google Brain announce TensorFlow Recommenders (TFRS), an official recommender-systems package for...
Oracle announces Tribuo, a Java machine-learning library [Adam Pocock @ Oracle]
Adam Pocock from Oracle announced the public release of Oracle’s so-far in-house machine-learning library Tribuo. The library is not specifically designed for recommender-systems. Yet, it...
Mozilla is Crowdsourcing Research into (Harmful) YouTube Recommendations [Ashley Boyd @ Mozilla]
YouTube recommendations can be delightful, but they can also be dangerous. The platform has a history of recommending harmful content — from pandemic conspiracies to...
TensorFlow introduces a new ‘end-to-end’ solution for on-device recommendations with TFLite
Ellie Zhou, Tian Lin, Cong Li, Shuangfeng Li, and Sushant Prakash from TensorFlow announced in a blog post that they open-source an end-to-end solution for...