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Abstract
In this paper, we propose a unified retrieval model that is called the hyper-textual language model for web information retrieval. The proposed model seamlessly integrates information from multiple sources including web content, hyperlinks and the topology of the web in a unified modelling framework. On the one hand, this model extends the language modelling technique to accommodate special structural and semantic information brought by the hyperlinks of the web; on the other hand, it provides a formal retrieval model that realises topic-relevant pageranking. Experimental study on a university website shows that this formal retrieval model outperforms several alternative search techniques including Google and Inktomi on a group of test queries.
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