Synthetic Data-Based Simulators for Recommender Systems: A Survey

no code implementations • 22 Jun 2022 • Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich, Petr Chunaev, Klavdiya Bochenina, Dmitry Bugaychenko

This survey aims at providing a comprehensive overview of the recent trends in the field of modeling and simulation (M&S) of interactions between users and recommender systems and applications of the M&S to the performance improvement of industrial recommender engines.

Recommendation Systems