Item Details

Print View

Effective and Efficient Automatic Database Selection

French, James; Powell, Allison; Callan, Jamie
Format
Report
Author
French, James
Powell, Allison
Callan, Jamie
Abstract
We examine a class of database selection algorithms that require only document frequency information. The CORI algorithm is an instance of this class of algorithms. In previous work, we showed that CORI is more effective than gGlOSS when evaluated against a relevance-based standard. In this paper, we introduce a family of other algorithms in this class and examine components of these algorithms and of the CORI algorithm to begin identifying the factors responsible for their performance. We establish that the class of algorithms studied here is more effective and efficient than gGlOSS and is applicable to a wider variety of operational environments. In particular, this methodology is completely decoupled from the database indexing technology so is as useful in heterogeneous environments as in homogeneous environments.
Language
English
Date Received
2012-10-29
Published
University of Virginia, Department of Computer Science, 1999
Published Date
1999
Collection
Libra Open Repository
In CopyrightIn Copyright
▾See more
▴See less

Availability

Access Online