User biased document language modelling

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution book


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
Number of pages2
Publication statusPublished - 25 Jul 2004
Externally publishedYes

Publication series

NameSIGIR '04


  • context
  • user biased
  • language model
  • information retrieval


Dive into the research topics of 'User biased document language modelling'. Together they form a unique fingerprint.

Cite this