Score normalization

Abstract

Score normalization is relevant to data fusion since very often those scores provided by component systems are not comparable or there is no scoring information at all. Therefore, score normalization is very often served as a preliminary step to data fusion. Score normalization methods can be divided into two categories: linear and non-linear. If no scores are provided, then it is possible to use some methods that can transform ranking into scores. In each case, we discuss several different methods.