Recommender Systems for Configuration Knowledge Engineering
This addresses the knowledge engineering bottleneck for configurator projects, but it appears incremental as it applies existing recommender methods to a specific domain.
The paper tackles the knowledge engineering bottleneck in configurator projects by using recommender systems to support knowledge base development and maintenance, reporting empirical results that highlight the importance of user-centered configuration knowledge organization.
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.