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Topic-sensitive PageRank
by:In: Proceedings of the Eleventh International World Wide Web Conference
(May 2002)
.
Abstract
In the original PageRank algorithm for improving the ranking of search-query results, a single PageRank vector is computed, using the link structure of the Web, to capture the relative ``importance'' of Web pages, independent of any particular search query. To yield more accurate search results, we propose computing a \em set of PageRank vectors, biased using a set of representative topics, to capture more accurately the notion of importance with respect to a particular topic...
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