Recognizing Nepotistic Links on the Web

Brian D. Davison

The use of link analysis and page popularity in search engines has grown recently to improve query result rankings. Since the number of such links contributes to the value of the document in such calculations, we wish to recognize and eliminate nepotistic links--links between pages that are present for reasons other than merit. This paper explores some of the issues surrounding the question of what links to keep, and we report high accuracy in initial experiments to show the potential for using a machine learning tool to automatically recognize such links.


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