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Lecture Notes in Computer Science
The PageRank algorithm is used today within web information retrieval to provide a content-neutral ranking metric over web pages. It employs power method iterations to solve for the steady-state vector of a DTMC. The defining one-step probability transition matrix of this DTMC is derived from the hyperlink structure of the web and a model of web surfing behaviour which accounts for user bookmarks and memorised URLs. In this paper we look to provide a more accessible, more broadly applicabledoi:10.1007/978-3-642-04417-5_3 fatcat:ilwi5qicnbe7pjoo52kgkqru7q