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In response to a query, a search engine returns a ranked list of documents. If the query is about a popular topic (i.e., it matches many documents), then the returned list is usually too long to view fully. Studies show that users usually look at only the top 10 to 20 results. However, we can exploit the fact that the best targets for popular topics are usually linked to by enthusiasts in the same domain. In this paper, we propose a novel ranking scheme for popular topics that places the mostdoi:10.1145/371920.372162 dblp:conf/www/BharatM01 fatcat:d7x7rd3oxvcozmt5xobmwnrhuu