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This paper presents WordRank, a new page ranking system, which exploits similarity between interconnected pages. WordRank introduces the model of the 'biased surfer' which is based on the following assumption: "the visitor of a web page tends to visit web pages with similar content rather than content irrelevant pages". The algorithm modifies the random surfer model by biasing the probability of a user to follow a link in favor of links to pages with similar content. It is our intuition thatdoi:10.1109/bncod.2007.24 dblp:conf/bncod/KritikopoulosSV07 fatcat:mosxv5vj5rd7tbd4vdacdbvh3e