document: Predictive ranking : a novel page ranking approach by estimating the web structure PageRank ( PR ) is one of the most popular ways to rank web pages . However , as the Web continues to grow in volume , it is becoming more and more difficult to crawl all the available pages . As a result , the page ranks computed by PR are only based on a subset of the whole Web . This produces inaccurate outcome because of the inherent incomplete information ( dangling pages ) that exist in the calculation . To overcome this incompleteness , we propose a new variant of the PageRank algorithm called , Predictive Ranking ( PreR ) , in which different classes of dangling pages are analyzed individually so that the link structure can be predicted more accurately . We detail our proposed steps . Furthermore , experimental results show that this algorithm achieves encouraging results when compared with previous methods .
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