The ability to categorize natural-language documents and web pages into known categories using supervised learning or to cluster them into meaningful new categories using unsupervised learning has important applications in information retrieval, information filtering, knowledge management, and recommender systems. Our research has focused on applications of text learning to recommender systems and on semi-supervised clustering of documents.