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. (http://dx.doi.org/10.1145/584792.584908)

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.

• Share and Export
  

  ASCII CitationEP3 XMLRIS (EndNote Online, Zotero, Ref manager, etc)HTML CitationOpenURL ContextObject in SpanRIOXX2 XMLRDF+N-TriplesBibTeXMPEG-21 DIDLMODSRefWorksRDF+N3Multiline CSVJSONDublin CoreData Cite XMLSimple MetadataEndNoteAtomMETSOpenURL ContextObjectRDF+XMLRefer
• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	1898
  Dates:	Date Event 5 November 2002 Published
  Subjects:	Bibliography. Library Science. Information Resources > Information resources > Electronic information resources
  Department:	Faculty of Science > Computer and Information Sciences
  Depositing user:	Strathprints Administrator
  Date deposited:	29 Oct 2006
  Last modified:	11 Nov 2024 16:11
  URI:	https://strathprints.strath.ac.uk/id/eprint/1898