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Author Mah, Clinton P. ♦ D'Amore, Raymond J.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Abstract By using overlapping word fragments to index text, we can combine the best features of the keyword and the full text approaches to document retrieval so as to facilitate searches on any content word. The characteristics of a retrieval system based on word fragment indexing can be precisely predicted from a multinomial model of text. Controlled experiments with two different text collections indicate that such a system can be highly effective under quite general conditions.
Description Affiliation: PAR Technology Corporation, New Hartford, NY (Mah, Clinton P.; D'Amore, Raymond J.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1978-08-01
Publisher Place New York
Journal ACM SIGIR Forum (SIGF)
Volume Number 17
Issue Number 3
Page Count 11
Starting Page 6
Ending Page 16


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Source: ACM Digital Library