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Data fusion with estimated weight

Wu, S. and Crestani, F. (2002) Data fusion with estimated weight. In: Proceedings of the eleventh international Conference on Information and Knowledge Management 2002, 2002-11-04 - 2002-11-09, McLean, USA.

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Abstract

This paper proposes an adptive approach for data fusion of information retrieval systems, which exploits estimated performances of all component input systems without relevance judgement or training. The estimation is conducted prior to the fusion but uses the same data as fusion applies. The experiment shows that our algorithms are competitive with, and often outperform CombMNZ, one of the most effective algorithms in use.

Item type: Conference or Workshop Item (Paper)
ID code: 1898
Keywords: data fusion, distributed information retrieval, metasearch, results merging, Electronic information resources
Subjects: Bibliography. Library Science. Information Resources > Information resources > Electronic information resources
Department: Faculty of Science > Computer and Information Sciences
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 29 Oct 2006
    Last modified: 17 Jul 2013 14:53
    URI: http://strathprints.strath.ac.uk/id/eprint/1898

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