Lightweight document matching for help-desk applications

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