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Distributed Information Retrieval: A Multi-Objective Resource Selection Approach

Wu, S. and Crestani, F. (2003) Distributed Information Retrieval: A Multi-Objective Resource Selection Approach. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 11 (1). pp. 83-99. ISSN 0218-4885

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Abstract

Information retrieval is becoming increasingly concerned with resource selection and data fusion for distributed archives. In distributed information retrieval, a user submits a query to a broker, which determines a solution for how to yield a given number of documents from all available resources. In this paper, we present a multi-objective model for resource selection, in which four aspects: a document's relevance to the given query, time, monetary cost, and the chance of getting document duplicates from resources, are considered simultaneously. Some variants of this multi-objective model, aimed at achieving better implementation efficiency, are also proposed.