User biased document language modelling

L. Azzopardi, M. Girolami, C. J. van Rijsbergen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Abstract

Capitalizing on the intuitive underlying assumptions of Language Modelling for Ad-Hoc Retrieval we present a novel approach that is capable of injecting the user's context of the document collection into the retrieval process. The preliminary findings from the evaluation undertaken suggest that improved IR performance is possible under certain circumstances. This motivates further investigation to determine the extent and significance of this improved performance.
Original languageEnglish
Title of host publicationSIGIR '04 Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York, NY, USA
Pages542-543
Number of pages2
DOIs
Publication statusPublished - 25 Jul 2004
Externally publishedYes

Publication series

NameSIGIR '04
PublisherACM

Keywords

  • context
  • user biased
  • language model
  • information retrieval

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Cite this

Azzopardi, L., Girolami, M., & van Rijsbergen, C. J. (2004). User biased document language modelling. In SIGIR '04 Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 542-543). (SIGIR '04).. https://doi.org/10.1145/1008992.1009111