Application-Embedded Retrieval from Distributed Free-Text Collections

Vladimir A. Kulyukin, DePaul University

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.


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