We examine the problem of selective information distribution
to a large user community. As information is created it is compared
to interest profiles and distributed to those persons who have
indicated a desire to receive it. Unlike traditional information
retrieval systems we cannot take advantage of off-line analysis
(indexing) of the data to be queried. Unlike transaction processing
systems, the data is primarily textual. We can and do, however,
preprocess the users' queries.
