Azzopardi, L and Girolami, M and van Rijsbergen, CJ (2004) Topic based language models for ad hoc information retrieval. In: 2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS. (pp. 3281 - 3286). IEEE
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Abstract
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 stage language model, it outperforms all other estimated models.
| Type: | Proceedings paper |
|---|---|
| Title: | Topic based language models for ad hoc information retrieval |
| Event: | IEEE International Joint Conference on Neural Networks (IJCNN) |
| Location: | Budapest, HUNGARY |
| Dates: | 2004-07-25 - 2004-07-29 |
| ISBN: | 0-7803-8359-1 |
| UCL classification: | UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science |
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