Recommender Systems for Configuration Knowledge Engineering

Adaptive user interfaces The knowledge engineering bottleneck is still a major for knowledge engineering have the potential to effectively challenge in configurator projects. In this paper support engineers and domain experts in activities such we show how recommender systems can support as learning (knowledge base understanding), finding (the relevant knowledge base development and maintenance items in the knowledge base), and testing & debugging processes. We discuss a couple of scenarios for (removing the source of faulty behavior).