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Summary: Relevance Score Normalization for Metasearch
Mark Montague
Department of Computer Science
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755
montague@cs.dartmouth.edu
Javed A. Aslam
Department of Computer Science
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755
jaa@cs.dartmouth.edu
ABSTRACT
Given the ranked lists of documents returned by multiple
search engines in response to a given query, the problem of
metasearch is to combine these lists in a way which optimizes
the performance of the combination. This problem can be
naturally decomposed into three subproblems: (1) normaliz-
ing the relevance scores given by the input systems, (2) es-
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