A framework is presented for application-embedded information retrieval from distributed free-text collections. An application’s usage is sampled by an embedded information retrieval system. Samples are converted into queries to distributed collections. Retrieval is adjusted through sample size and structure, anydata indexing, and dual space feedback. The framework is investigated with a retrieval system embedded in a text processor.
Registration: ISBN 978-0-262-51106-3
Copyright: July 18-22, 1999, Orlando, Florida. Published by The AAAI Press, Menlo Park, California.