Retrieving records from a gigabyte of text on a minicomputer using statistical ranking

Retrieving records from a gigabyte of text on a minicomputer using statistical ranking (1990)

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by Donna Harman , Gerald C

Venue:	Journal of the American Society for Information Science
Citations:	67 - 1 self

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Datum	Value	Source
TITLE	Retrieving records from a gigabyte of text on a minicomputer using statistical ranking	INFERENCE
AUTHOR NAME	Donna Harman	SVM HeaderParse 0.2
AUTHOR AFFIL	National Institute of Standards and Technology, Gaithersburg	SVM HeaderParse 0.2
AUTHOR ADDR	MD, 20899	SVM HeaderParse 0.2
AUTHOR NAME	Gerald C	SVM HeaderParse 0.2
AUTHOR AFFIL	National Institute of Standards and Technology, Gaithersburg	SVM HeaderParse 0.2
AUTHOR ADDR	MD, 20899	SVM HeaderParse 0.2
ABSTRACT	Statistically based ranked retrieval of records using keywords provides many advantages over traditional Boolean retrieval methods, especially for end users. This approach to retrieval, however, has not seen wide-spread use in large operational retrieval systems. To show the feasibility of this retrieval methodology, re-search was done to produce very fast search tech-niques using these ranking algorithms, and then to test the results against large databases with many end users. The results show not only response times on the order of 1 and l/2 seconds for 806 megabytes of text, but also very favorable user reaction. Novice users were able to consistently obtain good search results after 5 minutes of training. Additional work was done to de-vise new indexing techniques to create inverted files for large databases using a minicomputer. These techniques use no sorting, require a working space of only about 20 % of the size of the input text, and produce indices that are about 14 % of the input text size.	SVM HeaderParse 0.2
YEAR	1990	INFERENCE
VENUE	Journal of the American Society for Information Science	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	581--589	INFERENCE
VOLUME	41	INFERENCE
CITATIONS	26 found	ParsCit 1.0