  The knowledge engineering bottleneck is still a major challenge in
configurator projects. In this paper we show how recommender systems can
support knowledge base development and maintenance processes. We discuss a
couple of scenarios for the application of recommender systems in knowledge
engineering and report the results of empirical studies which show the
importance of user-centered configuration knowledge organization.
