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Database Selection Using Document and Collection Term Frequencies

Srinivasa, Rashmi; Phan, Tram; Mohanraj, Nisanti; Powell, Allison; French, Jim
Format
Report
Author
Srinivasa, Rashmi
Phan, Tram
Mohanraj, Nisanti
Powell, Allison
French, Jim
Abstract
We examine the impact of two types of information - document frequency (df) and collection term frequency (ctf) - on the effectiveness of database selection. We introduce a family of database selection algorithms based on this information, and compare their effectiveness to two existing database selection approaches, CORI and gGlOSS. We demonstrate that a simple selection algorithm that uses only document frequency information is more effective than gGlOSS, and achieves effectiveness that is very close to that of CORI.
Language
English
Date Received
2012-10-29
Published
University of Virginia, Department of Computer Science, 2000
Published Date
2000
Collection
Libra Open Repository
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