document: Selective hypertext induced topic search We address the problem of answering broad-topic queries on the World Wide Web . We present a link based analysis algorithm SelHITS , which is an improvement over Kleinberg 's HITS ( 2 ) algorithm . We introduce the concept of virtual links to exploit the latent information in the hyperlinked environment . We propose a novel approach to calculate hub and authority values . We also present a selective expansion method which avoids topic drift and provides results consistent with only one interpretation of the query , even if the query is ambiguous . Initial experimental evaluation and user feedback show that our algorithm indeed distills the most important and relevant pages for broad-topic queries . We also infer that there exists a uniform notion of quality of search results within users .
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