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Bayes Optimal Metasearch: A Probabilistic Model for Combining the Results of Multiple Retrieval Systems
 

Summary: Bayes Optimal Metasearch: A Probabilistic Model for Combining the Results
of Multiple Retrieval Systems 
Javed A. Aslam Mark Montague
Department of Computer Science
Dartmouth College
6211 Sudiko Laboratory
Hanover, NH 03755
fjaa, montagueg@cs.dartmouth.edu
Abstract
We introduce a new, probabilistic model for combining
the outputs of an arbitrary number of query retrieval
systems. By gathering simple statistics on the average
performance of a given set of query retrieval systems,
we construct a Bayes optimal mechanism for combining
the outputs of these systems. Our construction yields a
metasearch strategy whose empirical performance nearly
always exceeds the performance of any of the constituent
systems. Our construction is also robust in the sense that
if \good" and \bad" systems are combined, the perfor-
mance of the composite is still on par with, or exceeds,

  

Source: Aslam, Javed - College of Computer Science, Northeastern University

 

Collections: Computer Technologies and Information Sciences