Web: http://arxiv.org/abs/2206.11338

June 24, 2022, 1:10 a.m. | Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich, Petr Chunaev, Klavdiya Bochenina, Dmitry Bugaychenko

cs.LG updates on arXiv.org arxiv.org

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. We start with the motivation behind the
development of frameworks implementing the simulations -- simulators -- and the
usage of them for training and testing recommender systems of different types
(including Reinforcement Learning ones). Furthermore, we provide a new
consistent …

arxiv data recommender systems survey synthetic data systems

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY