Document Retrieval, document processing, query processing, Boolean, Vector Space, Probabilistic, Language Model
Library and Information Science | Linguistics
Document Retrieval is the computerized process of producing a relevance ranked list of documents in response to an inquirer’s request by comparing their request to an automatically produced index of the documents in the system. Everyone uses such systems today in the form of web-based search engines. While evolving from a fairly small discipline in the 1940s, to a large, profitable industry today, the field has maintained a healthy research focus, supported by test collections and large-scale annual comparative tests of systems. A document retrieval system is comprised of three core modules: document processor, query analyzer, and matching function. There are several theoretical models on which document retrieval systems are based: Boolean, Vector Space, Probabilistic, and Language Model.
Elizabeth D. Liddy 2005. Automatic Document Retrieval. In Encyclopedia of Language and Linguistics. 2nd Edition. Elsevier Press
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