Flexible, Scalable, Differentiable Simulation of Recommender Systems with RecSim NG

Posted by Martin Mladenov, Research Scientist and Chih-wei Hsu, Software Engineer, Google Research Recommender systems are the primary interface connecting users to a wide variety of online content, and therefore must overcome a number of challenges across the user population in order to serve them equitably. To this end, in 2019 we released RecSim, a configurable platform for authoring simulation environments to facilitate the study of RL algorithms (the de facto standard ML approach for addres...

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