Item Details

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
20121029
Published
University of Virginia, Department of Computer Science, 2000
Published Date
2000
Collection
Libra Open Repository
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