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Proceedings of the twelfth international conference on Information and knowledge management - CIKM '03
We present a unified model which, given the ranked lists of documents returned by multiple retrieval systems in response to a given query, simultaneously solves the problems of (1) fusing the ranked lists of documents in order to obtain a high-quality combined list (metasearch); (2) generating document collections likely to contain large fractions of relevant documents (pooling); and (3) accurately evaluating the underlying retrieval systems with small numbers of relevance judgments (efficientdoi:10.1145/956950.956953 fatcat:yow6vkikfvasjkvqexiwnxvbwq