SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research
The Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research (SimuRec) brings together researchers and practioners to understand the current state of the art on best practices for using simulation and data synthesis for research, development, and education in recommender systems.
This workshop is a great opportunity to help shape the use of simulations and synthetic data in the next several years of recommender systems research. This workshop is a little different from most RecSys workshops: it is built around a working group consisting of the authors of accepted position papers. This group will work virtually from Aug. 27 through Sep. 24 to discuss the contributed ideas and draft a report on the state and future directions in simulation methods for recommender systems research.
During RecSys, there will be a hybrid half-day session that is open to all RecSys workshop program attendees to present and discuss the positions and conclusions of the working group. Papers for this workshop will not be published, unless individual authors choose to make them available; workshop outcomes will be disseminated through a jointly-authored report by the working group participants.
Organizers
- Michael Ekstrand, PIReT, Boise State University
- Allison Chaney, Duke University
- Pablo Castells, Universidad Autónoma de Madrid and Amazon
- David Rohde, Criteo
- Manel Slokom, TU Delft
- Robin Burke, University of Colorado
Website
Date
Half day.
