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DIALOG and Mead Join the Relevance Ranks

Source Publication
Online Vol. 18
Date Issued
May 1, 1994
Author(s)
Tenopir, Carol  
Cahn, Pam
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/47944
Abstract

New, non-Boolean, natural language search techniques - Westlaw's WIN, DIALOG's TARGET, and Mead Data Central's FREESTYLE - are based on the assumption that the standard command-driven online systems coupled with Boolean logic searching are not only difficult to learn, but may sometimes miss relevant documents. Although each new product works somewhat differently, all 3 offer an alternative to searching with command interfaces and Boolean/proximity operators. They offer natural language input, with no need for commands or logical operators. This input method is coupled with so-called associative or statistical retrieval techniques that provide relevance ranking of search results. The question of how relevance search systems retrieve compared to the tried-and-true Boolean search engines is explored.

Subjects

natural language sear...

searching techniques

text searching

boolean searching

TARGET

FREESTYLE

Disciplines
Library and Information Science
Comments

Reprinted in Karen Sparck-Jones and Pete Willet, eds. Readings in Information Retrieval. San Francisco: Morgan Kaufman Publishers, 1997.

File(s)
Thumbnail Image
Name

TARGET__FREESTYLE_DIALOG_and_M.pdf

Size

26.21 KB

Format

Adobe PDF

Checksum (MD5)

afac53ce37c4a3bf3eba42969338b447

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