Recommender Systems are springing up everywhere, collecting the judgments and clickstreams of Web users, and processing them to recommend everything from diapers to dioramas. The research presented here revisits to the earliest roots of recommender systems, HyperCat and the SXR, and asks how such systems can support the activity of researchers with a long-term, shared interest in some difficult topic.