RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

1 code implementation • 14 Mar 2021 • Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier

The development of recommender systems that optimize multi-turn interaction with users, and model the interactions of different agents (e. g., users, content providers, vendors) in the recommender ecosystem have drawn increasing attention in recent years.

counterfactual Probabilistic Programming +1