Recommender-Systems Version Control: TensorFlow releases ‘Machine Learning Metadata (MLMD)’
Version control for recommender systems is a topic that should receive more attention in the community. Given that TensorFlow is often used for implementing recommender...
‘AutoGL’, a new AutoML framework for Graphs by Tsinghua University
‘Graphs’ and linked data are highly useful in generating effective recommender systems. Also in machine learning, graphs have gained popularity. Now, researchers from Tsinghua University...
HetSeq: Training BERT on a random assortment of GPUs [Yifan Ding et al.]
BERT has brought huge changes to how NLP is done, and also had a notable impact on recommender systems (not always though*). However, training BERT...
Why isn’t your recommender system training faster on GPU? [Even Oldridge @NVIDIA]
Even Oldridge from NVIDIA Merlin has written a blog post about Why isn’t your recommender system training faster on GPU? (And what can you do...
Could Google passage indexing be leveraging BERT? [Dawn Anderson @SearchEngineLand]
Google’s language model BERT has (and still is) created some attention in the NLP and Search community when it was released in 2018, and incorporated...
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...
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...
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...