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...
‘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...
An Exhaustive List of Methods to Evaluate Recommender Systems [Muffaddal Qutbuddin @TowardsDataScience]
Imagine we have built an item-based recommender system to recommend users movies based on their rating history. And now we want to asses how our model will...
‘Papers with Code’ / NeurIPS Guidelines for Publishing Research Code: A Role Model For Recommender-Systems?
The recommender-system community is facing a reproducibility crisis. This has recently been demonstrated by the authors of the paper Are we really making much progress?...