SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments

1 code implementation • 28 Nov 2023 • Romain Deffayet, Thibaut Thonet, Dongyoon Hwang, Vassilissa Lehoux, Jean-Michel Renders, Maarten de Rijke

Simulators can provide valuable insights for researchers and practitioners who wish to improve recommender systems, because they allow one to easily tweak the experimental setup in which recommender systems operate, and as a result lower the cost of identifying general trends and uncovering novel findings about the candidate methods.

counterfactual Learning-To-Rank +1