The textual content of the Web enriched with the hyperlink structure surrou
nding it can be a useful source of information for querying and searching.
This paper presents a search process where the input is the URL of a page,
and the output is a ranked set of topics on which the page has a reputation
. For example, if the input is www.gamelan.com, then a possible output is '
Java'. We propose several algorithmic formulations of the notion of reputat
ion using simple random walk models of Web-browsing behavior. We give preli
minary test results on the effectiveness of these algorithms. (C) 2000 Publ
ished by Elsevier Science B.V. All rights reserved.