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Lightweight document matching for help-desk applications

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4 Author(s)
Weiss, S.M. ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA ; White, B.F. ; Apte, Chidanand V. ; Damerau, F.J.

For decades, researchers have been working on ways to process text for classification and queries by relevant document retrieval. The authors describe a method that uses minimal data structures and lightweight algorithms to match new documents to those stored in a database. It is a completely automated Java based document matcher that accepts an unlimited-length textural structure as input and employs a fast matching algorithm to produce, like a search engine, a ranked list of relevant documents

Published in:

Intelligent Systems and their Applications, IEEE  (Volume:15 ,  Issue: 2 )