  EvalRS aims to bring together practitioners from industry and academia to
foster a debate on rounded evaluation of recommender systems, with a focus on
real-world impact across a multitude of deployment scenarios. Recommender
systems are often evaluated only through accuracy metrics, which fall short of
fully characterizing their generalization capabilities and miss important
aspects, such as fairness, bias, usefulness, informativeness. This workshop
builds on the success of last year's workshop at CIKM, but with a broader scope
and an interactive format.
