document: Improving text collection selection with coverage and overlap statistics In an environment of distributed text collections , the first step in the information retrieval process is to identify which of all available collections are more relevant to a given query and which should thus be accessed to answer the query . We address the challenge of collection selection when there is full or partial overlap between the available text collections , a scenario which has not been examined previously despite its real-world applications . To that end , we present COSCO , a collection selection approach which uses collection-specific coverage and overlap statistics . We describe our experimental results which show that the presented approach displays the desired behavior of retrieving more new results early on in the collection order , and performs consistently and significantly better than CORI , previously considered to be one of the best collection selection systems .
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