Previous research in Learning Object design has focused on automatic component selection and aggregation based on derived metadata relationships. However, research has yet to examine how end-user developers subsequently visualise and integrate such relationships during system design and use. In this paper we describe an approach and architecture for pattern-based design in End-User Development contexts using LO metadata. We discuss how existing approaches and techniques from machine learning can be integrated within our architecture to provide localised and distributed adaptation to EUD practices.