Name
Abstract | ||
|---|---|---|
Abstract We compare,several algorithms for identifying mirrored hosts on the World Wide Web. The algorithms operate on the basis of URL strings and linkage data: the type of information easily available from web proxies and crawlers. Identification of mirrored hosts can improve web-based info rmation retrieval in several ways: First, by identifying mirrored hosts, search eng ines can avoid storing and returning duplicate documents. Second, several new information retrieval techniques for the Web make inferences based on the explicit links among,hypertext documents,‐ mirroring perturbs their graph model and degrades performance. Third, mirroring information can be used to redirect users to alternate mirror sites to com pensate for various failures, and can thus improve the performance,of web browsers and proxies. This work was presented at the Workshop on Organizing Web Space at the Fourth ACM Conference on |
Year | DOI | Venue |
|---|---|---|
1999 | 3.0.CO;2-0" target="_self" class="small-link-text"10.1002/1097-4571(2000)9999:99993.0.CO;2-0 | Journal of the American Society for Information Science |
Keywords | DocType | Volume |
world wide web,information retrieval | Conference | 51 |
Issue | ISSN | Citations |
12 | 0002-8231 | 50 |
PageRank | References | Authors |
7.70 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krishna A. Bharat | 1 | 1211 | 252.86 |
| Andrei Broder | 2 | 7357 | 920.20 |
| Jeffrey Dean | 3 | 8304 | 671.50 |
| Monika Rauch Henzinger | 4 | 4307 | 481.86 |