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In this paper we demonstrate that in an ideal Distributed Information Retrieval environment, taking the ability of each collection server to return relevant documents into account when selecting collections can be effective. Based on this assumption, we suggest a new approach to resolve the collection selection problem. In order to predict a collection's ability to return relevant documents, we inspect a limited number n of documents retrieved from each collection and analyze the proximity ofdoi:10.1109/itcc.2002.1000443 dblp:conf/itcc/AbbaciBS02 fatcat:3ghkvercyffylcypg6yxdocrs4