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Cited by 837

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Efficient crawling through URL ordering

Open access
Cho, Junghoo, Garcia-Molina, Hector, Page, Lawrence·1998·Computer Networks and ISDN Systems

Abstract

In this paper we study in what order a crawler should visit the URLs it has seen, in order to obtain more “important” pages first. Obtaining important pages rapidly can be very useful when a crawler cannot visit the entire Web in a reasonable amount of time. We define several importance metrics, ordering schemes, and performance evaluation measures for this problem. We also experimentally evaluate the ordering schemes on the Stanford University Web. Our results show that a crawler with a good ordering scheme can obtain important pages significantly faster than one without.

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Metadata

Authors
Cho, J., Garcia-Molina, H., & Page, L.
Venue
Computer Networks and ISDN Systems
Publisher
Elsevier BV
Published
1998-04
Volume
30
Issue
1-7
Pages
161-172
ISSN
0169-7552 (ISSN-L)
OpenAlex
W2029341294
Cited by
837
References
1
FWCI
71.23
Type
journal article
Language
en
Open access
hybrid
Licence

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CoChat. (2026). Citation check: Efficient crawling through URL ordering. https://app.cochat.ai/papers/10.1016/s0169-7552(98)00108-1
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Cho, J., Garcia-Molina, H., & Page, L. (1998). Efficient crawling through URL ordering. Computer Networks and ISDN Systems. https://doi.org/10.1016/s0169-7552(98)00108-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.