Topic based language models for ad hoc information retrieval

  title={Topic based language models for ad hoc information retrieval},
  author={Leif Azzopardi and Mark A Girolami and C. J. van Rijsbergen},
  journal={2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)},
  pages={3281-3286 vol.4}
We propose a topic based approach to language modelling for ad-hoc information retrieval (IR). Many smoothed estimators used for the multinomial query model in IR rely upon the estimated background collection probabilities. In this paper, we propose a topic based language modelling approach, that uses a more informative prior based on the topical content of a document. In our experiments, the proposed model provides comparable IR performance to the standard models, but when combined in a two… CONTINUE READING
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