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We present a novel approach to re-ranking a list that was retrieved in response to a query so as to improve precision at the very top ranks. The approach is based on utilizing a second list that was retrieved by using, for example, a different retrieval method and/or query representation. In contrast to commonly-used methods for fusion of retrieved lists,… (More)
Previous work on cluster-based document retrieval has used either static document clusters that are created offline, or query-specific (dynamic) document clusters that are created from top-retrieved documents. We present the potential merit of integrating these two types of clusters.