document: Detecting nepotistic links by language model disagreement In this short note we demonstrate the applicability of hyperlink downweighting by means of language model disagreement . The method filters out hyperlinks with no relevance to the target page without the need of white and blacklists or human interaction . We fight various forms of nepotism such as common maintainers , ads , link exchanges or misused affiliate programs . Our method is tested on a 31 M page crawl of the . de domain with a manually classified 1000-page random sample .
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