Explicitly considering relevance within the language modeling framework

Azzopardi, L. and Roelleke, T. (2007) Explicitly considering relevance within the language modeling framework. In: 1st International Conference on the Theory of Information Retrieval, Budapest, Hungary, 18-20 Oct 2007,

Abstract

Whilst the event of relevance is central to the Binary Independence Retrieval model, Language Modeling focuses on the estimation of the document model. In this paper, we review the different past formulations of the Language Modeling (query likelihood) approach. We find that these previous formulations largely ignore relevance by making implicit or explicit assumptions. The main contribution of this work is an alternative formulation that specifically relates relevance and language modeling in a sound probabilistic framework. This leads to valuable insights into the application of Language Modeling to Information Retrieval, including how the approach handles relevance information and how the approach can be further developed.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Azzopardi, Dr Leif
• Authors: Azzopardi, L., and Roelleke, T.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science