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,...
Google launches ‘Product Discovery Solutions’ including search and recommendations for online retailers
Google joins the club of companies offering recommendations-as-a-service (RaaS). In a press release, Google announced the launch of “Product Discovery Solutions for Retail, Bolstering Personalized...
‘Lazy Predict’ Tutorial for AutoML with scikit-learn [Eryk Lewinson]
Eryk Lewinson wrote a tutorial on how to use Lazy Predict, which is an automated machine learning (AutoML) extension by Shankar Rao Pandala for scikit-learn....
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...