@inproceedings{5692f3c68f244fd7b48c8212b290f657,
title = "SimuRec: Workshop on synthetic data and simulation methods for recommender systems research",
abstract = "There is significant interest lately in using synthetic data and simulation infrastructures for various types of recommender systems research. However, there are not currently any clear best practices around how best to apply these methods. We proposed a workshop to bring together researchers and practitioners interested in simulating recommender systems and their data to discuss the state of the art of such research and the pressing open methodological questions. The workshop resulted in a report authored by the participants that documents currently-known best practices on which the group has consensus and lays out an agenda for further research over the next 3-5 years to fill in places where we currently lack the information needed to make methodological recommendations. ",
keywords = "Evaluation, Simulation, Synthetic data",
author = "Ekstrand, {Michael D.} and Allison Chaney and Pablo Castells and Robin Burke and David Rohde and Manel Slokom",
year = "2021",
doi = "10.1145/3460231.3470938",
language = "English",
series = "RecSys 2021 - 15th ACM Conference on Recommender Systems",
publisher = "Association for Computing Machinery (ACM)",
pages = "803--805",
booktitle = "RecSys 2021 - 15th ACM Conference on Recommender Systems",
address = "United States",
note = "15th ACM Conference on Recommender Systems, RecSys 2021 ; Conference date: 27-09-2021 Through 01-10-2021",
}