van Rijsbergen, CJ;
Topic based language models for ad hoc information retrieval.
Presented at: IEEE International Joint Conference on Neural Networks (IJCNN), Budapest, HUNGARY.
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:||Conference item (UNSPECIFIED)|
|Title:||Topic based language models for ad hoc information retrieval|
|Event:||IEEE International Joint Conference on Neural Networks (IJCNN)|
|Dates:||25 July 2004 - 29 July 2004|
|UCL classification:||UCL > School of BEAMS > Faculty of Maths and Physical Sciences
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science
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