Hyper-textual language model for web information retrieval
by Ying Xie, Vijay V. Raghavan, Andrew Young
International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS), Vol. 1, No. 2, 2009

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.

Online publication date: Thu, 27-Aug-2009

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