Discusses methods to be used in an adaptive filtering task, in which incoming documents are routed to users according to stored profiles. Highlights include decision thresholds to help in the retrieval decision; probability of relevance; calibration and logistic regression; feedback; and examples in the Okapi text retrieval system. (LRW)