Hyper-textual language model for web information retrieval. (28th August 2009)

• Record Type: Journal Article
• Authors: Xie, Ying; Raghavan, Vijay V.; Young, Andrew
• Is Part Of: International journal of granular computing, rough sets and intelligent systems. Volume 1:Number 2(2009)
• Page Start: 190
• Page End: 202
• Publication Date: 2009-08-28
• Subjects: granular computing -- hyper-textual language models -- information retrieval -- language models -- page ranking -- web search -- web information -- internet -- hypertext -- web content -- hyperlinks -- web topology -- unified modelling -- semantics -- page ranking -- webpages -- university websites; Intelligent agents (Computer science) -- Periodicals; 006.3
• Languages: English
• ISSNs: 1757-2703

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.